Âûäåëèòü ñëîâà: 


Ïàòåíò ÑØÀ ¹

10739451

Àâòîð(û)

Parker è äð.

Äàòà âûäà÷è

11 àâãóñòà 2020 ã.


Systems and methods for detecting, tracking and identifying small unmanned systems such as drones



ÐÅÔÅÐÀÒ

A system for providing integrated detection and countermeasures against unmanned aerial vehicles include a detecting element, a location determining element and an interdiction element. The detecting element detects an unmanned aerial vehicle in flight in the region of, or approaching, a property, place, event or very important person. The location determining element determines the exact location of the unmanned aerial vehicle. The interdiction element can either direct the unmanned aerial vehicle away from the property, place, event or very important person in a non-destructive manner, or can cause disable the unmanned aerial vehicle in a destructive manner.


Àâòîðû:

Dwaine A. Parker (Naples, FL), Damon E. Stern (Riverview, FL), Lawrence S. Pierce (Huntsville, AL)

Ïàòåíòîîáëàäàòåëü:

ÈìÿÃîðîäØòàòÑòðàíàÒèï

XiDrone Systems, Inc.

Naples

FL

US

Çàÿâèòåëü:

XiDrone Systems, Inc. (Naples, FL)

ID ñåìåéñòâà ïàòåíòîâ

56081536

Íîìåð çàÿâêè:

16/867,145

Äàòà ðåãèñòðàöèè:

05 ìàÿ 2020 ã.

Îòñûëî÷íûå ïàòåíòíûå äîêóìåíòû ÑØÀ


Application NumberFiling DatePatent NumberIssue Date
16362285Mar 22, 2019
15967291May 7, 201910281570
15598112Apr 22, 20189977117
14821907Jun 27, 20179689976
62094154Dec 19, 2014

Êëàññ ïàòåíòíîé êëàññèôèêàöèè ÑØÀ:

1/1

Êëàññ ñîâìåñòíîé ïàòåíòíîé êëàññèôèêàöèè:

G08G 5/006 (20130101); B64C 39/024 (20130101); H04K 3/92 (20130101); G01S 13/06 (20130101); G01S 3/782 (20130101); G01S 13/88 (20130101); G08G 5/0026 (20130101); H04K 3/45 (20130101); G05D 1/0022 (20130101); G01S 7/414 (20130101); G01S 13/42 (20130101); G01S 13/86 (20130101); G08G 5/0013 (20130101); G01S 7/021 (20130101); G01S 7/38 (20130101); F41H 11/02 (20130101); F41H 13/0075 (20130101); H04K 3/65 (20130101); H04K 2203/32 (20130101); H04K 3/44 (20130101); H04K 2203/14 (20130101); H04K 3/42 (20130101); G01S 13/883 (20130101); H04K 2203/22 (20130101); G01S 13/933 (20200101); B64C 2201/12 (20130101); B64C 2201/141 (20130101)

Êëàññ ìåæäóíàðîäíîé ïàòåíòíîé êëàññèôèêàöèè (ÌÏÊ):

G01S 13/06 (20060101); G01S 3/782 (20060101); F41H 11/02 (20060101); G01S 13/42 (20060101); G01S 13/91 (20060101); G01S 13/933 (20200101); G01S 13/88 (20060101); F41H 13/00 (20060101); G01S 7/38 (20060101); G01S 7/02 (20060101); G01S 13/86 (20060101); G01S 7/41 (20060101)

Èñïîëüçîâàííûå èñòî÷íèêè

[Referenced By]

Ïàòåíòíûå äîêóìåíòû ÑØÀ

3668403June 1972Meilander
3754249August 1973Kearney, II
3981010September 1976Michelsen
4016565April 1977Walker
4160974July 1979Stavis
4178596December 1979Rowlett
4468656August 1984Clifford
4652885March 1987Saffold
4692638September 1987Stiegler
4723311February 1988Moustakas et al.
4727537February 1988Nichols
4780719October 1988Frei
4825435April 1989Amundsen et al.
4990814February 1991Tanski et al.
5005147April 1991Krishen
5268680December 1993Zantos
5307077April 1994Branigan
5327149July 1994Kuffer
5341142August 1994Reis
5381150January 1995Hawkins
5402129March 1995Gellner
5442168August 1995Gurner et al.
5554990September 1996McKinney
5557278September 1996Piccirillo
5568476October 1996Sherer et al.
5728965March 1998Fesland
5884040March 1999Chung
5930696July 1999Tzuang
5996646October 1999Lampe et al.
6081764June 2000Varon
6087974July 2000Yu
6262679July 2001Tran
6529820March 2003Tomescu
6563453May 2003Wilson
6564149May 2003Lai
6608559August 2003Lemelson et al.
6690296February 2004Corwin
6697008February 2004Sternowski
6707052March 2004Wild
6868314March 2005Frink
6877691April 2005DeFlumere
6903676June 2005Frady
6992614January 2006Joyce
7046841May 2006Dow et al.
7149366December 2006Sun
7202809April 2007Schade
7205932April 2007Fiore
7236766June 2007Freeburg
7248342July 2007Degnan
7283840October 2007Cho
7336939February 2008Gomez
7339515March 2008Ferm
7339981March 2008Dogan
7430257September 2008Shattil
7437225October 2008Rathinam
7489264February 2009Ferm
7492308February 2009Benayahu
7504982March 2009Berg
7548184June 2009Lo
7551121June 2009O'Connell
7554481June 2009Cohen
7567202July 2009Pearson et al.
7593706September 2009Bucknor et al.
7619555November 2009Rolfe
7668505February 2010Vacanti
7680192March 2010Kaplinsky
7683782March 2010Christopher
7684020March 2010Marti et al.
7706979April 2010Herwitz
7710463May 2010Foote
7728755June 2010Jocic
7782256August 2010Smith
7653261December 2010Lewis et al.
7898454March 2011Starkey
7961133June 2011Vollin
7969346June 2011Franceschini et al.
8161440April 2012Lontka
8204494June 2012Weinzieri
8212709July 2012Bradley
8212995July 2012Koehler et al.
8254847August 2012Sen
8258994September 2012Hamilton
8301075October 2012Sherman
8305196November 2012Kennedy et al.
8330641December 2012Ryden
8378880February 2013Boka
8378881February 2013LeMire
8464949June 2013Namey
8528998September 2013Leal
8543053September 2013Melamed et al.
8543265September 2013Ekhaguere
8599367December 2013Canham
8625854January 2014Valkenburg et al.
8655348February 2014Zha
8750903June 2014Fitzsimmons et al.
8750934June 2014Lucidarme
8761687June 2014Chang et al.
8798922August 2014Tillotson
8811720August 2014Seida
8824966September 2014Boes
8909304December 2014Coleman
8918540December 2014Carman et al.
8939081January 2015Smith et al.
8942082January 2015Shattil
8942197January 2015Rudnick et al.
8955110February 2015Twitchell, Jr.
8983455March 2015Frolov et al.
9041798May 2015Yerkes
9042333May 2015Shattil
9048944June 2015Boes
9083425July 2015Frolov et al.
9108729August 2015Duggan
9170069October 2015Smith
9170117October 2015Abuelsaad et al.
9175934November 2015Kilian
9204488December 2015Bai
9212869December 2015Boardman
9246629January 2016Coleman
9275645March 2016Hearing et al.
9302782April 2016Frolov et al.
9337889May 2016Stapleford
9354317May 2016Halmos
9356727May 2016Immendorf et al.
9363690June 2016Singh et al.
9405005August 2016Arteaga
9406237August 2016Downey et al.
9412278August 2016Gong et al.
9429655August 2016Yun
9432095August 2016Berlin et al.
9479392October 2016Anderson et al.
9479964October 2016Jalali
9483950November 2016Wang et al.
9495877November 2016Duffy
9508264November 2016Chan
9523773December 2016Fink
9529360December 2016Melamed et al.
9537561January 2017Kotecha et al.
9670390June 2017Kalwa
9689976June 2017Parker
9715009July 2017Parker
9977117May 2018Parker
10156631May 2018Parker
10051475August 2018Shattil
10281570May 2019Parker
2001/0033600October 2001Yang et al.
2003/0174763September 2003Kouki
2004/0021852February 2004DeFlumere
2004/0057537March 2004Kim
2004/0061595April 2004Yannone
2004/0130488July 2004DeChamplain
2004/0166878August 2004Erskine et al.
2004/0167667August 2004Goncalves et al.
2004/0203748October 2004Kappes et al.
2004/0249519December 2004Frink
2005/0040909February 2005Waight
2005/0046703March 2005Cutler
2005/0108374May 2005Pierzga
2006/0028373February 2006Fullerton
2006/0028374February 2006Fullerton
2006/0063485March 2006Gainey et al.
2006/0092075May 2006Bruce
2006/0106506May 2006Nichols
2006/0164282July 2006Duff
2006/0175464August 2006Chang
2006/0188033August 2006Zehavi et al.
2006/0235584October 2006Fregene et al.
2007/0052580March 2007Fiore
2007/0060055March 2007Desai et al.
2007/0099667May 2007Graham et al.
2007/0226247September 2007Ferm
2007/0285280December 2007Robinson et al.
2008/0018519January 2008Berg
2008/0088508April 2008Smith
2008/0095121April 2008Shattil
2008/0191924August 2008Duff
2009/0061870March 2009Finkelstein et al.
2009/0093847April 2009Noujeim
2009/0118875May 2009Stroud
2009/0174589July 2009Moraites
2009/0216757August 2009Sen et al.
2009/0273504November 2009Meyers
2009/0292468November 2009Wu
2009/0326735December 2009Wood et al.
2010/0042269February 2010Kokkeby
2010/0150209June 2010Gonzalez
2010/0170383July 2010Willner
2010/0174475July 2010Estkowski
2010/0253567October 2010Factor
2010/0272012October 2010Knefelkkamp
2010/0315261December 2010Rutjes et al.
2011/0002687January 2011Sabat, Jr. et al.
2011/0009053January 2011Anglin, Jr. et al.
2011/0058036March 2011Metzger et al.
2011/0117870May 2011Pera
2011/0292976December 2011Sen et al.
2012/0022719January 2012Matos
2012/0057566March 2012Ahmadi
2012/0092208April 2012LeMire
2012/0092503April 2012Cheng
2012/0143482June 2012Goossen
2012/0169642July 2012Chuang et al.
2012/0217301August 2012Namey
2012/0235881September 2012Pan
2012/0298748November 2012Factor
2012/0299765November 2012Huang et al.
2012/0309288December 2012Lu
2012/0322360December 2012Sen et al.
2012/0322459December 2012Jaffri et al.
2013/0009975April 2013Hendry et al.
2013/0099975April 2013Cyganski et al.
2013/0157599June 2013Ray
2013/0188008July 2013Meadow et al.
2013/0244712September 2013Kuzio et al.
2013/0316659November 2013Ylamurto
2013/0329052December 2013Chew
2014/0022051January 2014Levien
2014/0062757March 2014Fox et al.
2014/0098185April 2014Davari et al.
2014/0102288April 2014Yeshurun
2014/0111372April 2014Wu
2014/0138474May 2014Sharpin
2014/0148978May 2014Duncan et al.
2014/0172200June 2014Miralles
2014/0200875July 2014Yuksel Ergun
2014/0209678July 2014Factor
2014/0219124August 2014Chang et al.
2014/0219449August 2014Shattil
2014/0249693September 2014Stark et al.
2014/0251123September 2014Venema
2014/0253378September 2014Hinman
2014/0257692September 2014Stefani
2014/0266851September 2014Fink
2014/0267775September 2014Lablans
2014/0269650September 2014Sahota
2014/0277854September 2014Jones
2014/0344927November 2014Turgeman
2015/0009945January 2015Shattil
2015/0133067May 2015Chang et al.
2015/0226834June 2015Floch
2015/0214926July 2015Tohidian et al.
2015/0229434August 2015Shawn
2015/0236778August 2015Jalali
2015/0249498September 2015Rascon et al.
2015/0254988September 2015Wang
2015/0260824September 2015Malveaux
2015/0278140October 2015Motos
2015/0301529October 2015Pillai et al.
2015/0302858October 2015Hearing
2015/0304783October 2015Yang et al.
2015/0304869October 2015Johnson
2015/0312835October 2015Subramanian
2015/0339912November 2015Farrand
2015/0370250December 2015Bachrach
2016/0086621March 2016Hearing et al.
2016/0095001March 2016Jelk et al.
2016/0100415April 2016Mishra et al.
2016/0116915April 2016Pulleti
2016/0117931April 2016Chan
2016/0118059April 2016Hearing et al.
2016/0119938April 2016Freking et al.
2016/0134358May 2016Jalali
2016/0135204May 2016Mishra et al.
2016/0142880May 2016Talluri et al.
2016/0180719June 2016Wouhaybi
2016/0189732June 2016Hearing et al.
2016/0219506July 2016Pratt et al.
2016/0225264August 2016Taveira
2016/0246297August 2016Song
2016/0274229September 2016Oh
2016/0300493October 2016Ubhi et al.
2016/0300495October 2016Kantor et al.
2016/0309337October 2016Priest et al.
2016/0330771November 2016Tan
2016/0335476November 2016Renkis
2016/0337671November 2016Wieneke et al.
2016/0357192December 2016McGrew et al.
2016/0358432December 2016Branscomb et al.
2016/0358483December 2016Park
2017/0039413February 2017Nadler
2017/0045684February 2017Kablaoui
2017/0094527March 2017Shattil
2017/0261613September 2017Van Voorst
2017/0261999September 2017Van Voorst

Çàðóáåæíûå ïàòåíòíûå äîêóìåíòû

2016332918Apr 2018AU
105214288Jan 2016CN
108353081Jul 2018CN
2 252 859Dec 2012EP
3357214Aug 2018EP
2983973Jun 2013FR
2536043Sep 2016GB
2013009895Jan 2013KR
20180049154May 2018KR
2014116314Jul 2014WO
2017041303Mar 2017WO
2017058966Apr 2017WO

Äðóãèå èñòî÷íèêè


N9310A RF Signal Generator, 9kHz to 3 GHz, Key Features & Specifications, Keysight Technologies (1994), retrieved Nov. 14, 2017, 2 pages. cited by applicant .
Smart Sensor Radar System, Vista Radar Systems (1994), Raven Aerostar, Product Overview, retrieved Nov. 14, 2017, 2 pages. cited by applicant .
WiNRADiO MS-8118/G3 Multichannel Radio Monitoring System (1994), Product Overview, retrieved Nov. 14, 2017, 2 pages. cited by applicant .
RF Power Amplifiers, High Power-6GHz and below, Empower RF Systems, Inc. (1994), retrieved Nov. 14, 2017, 1 page. cited by applicant .
WiNRADiO WD-3300 High Performance Portable Direction Finding System (1994), Product Overview, retrieved Nov. 14, 2017, 2 pages. cited by applicant .
International Preliminary Report on Patentability and Written Opinion of the International Searching Authority dated Jun. 29, 2017, issued in related International Application No. PCT/US2015/059698. cited by applicant .
Kems, Andrew J., et al., "Unmanned Aircraft Capture and Control via GPS Spoofing," Journal of Robotics, vol. 31, No. 4, Jul. 2014, 29 pages. cited by applicant .
Rassler, Don, "Remotely Piloted Innovation: Terrorism, Drones and Supportive Technology," Combating Terrorism Center at West Point, United States Military Academy, Oct. 2016, 77 pages. cited by applicant .
Ying, Gao, et al., "Design and Realization of Virtual Scene System in UAV Electronic Warfare," International Conference on Information Engineering and Computer Science, IEEE, 2009,4 pages. cited by applicant .
"In the battle for Mosul, grenades rain down from ISIS drones," Rudaw. Jan. 7, 2017, 3 pages. cited by applicant .
"Liteye and Tribalco Team to Deliver AUDS Counter Drone Systems to U.S. Military Customers," PR Newswire, Jan. 12, 2017, 3 pages. cited by applicant .
Watson, Ben, "The Drones of ISIS," Defense One, Jan. 12, 2017, 10 pages. cited by applicant .
Office Action dated Apr. 4, 2017, issued in related U.S. Appl. No. 14/821,907. cited by applicant .
Notice of Allowance and Fee(s) Due dated May 15, 2017, issued in related U.S. Appl. No. 14/821,907. cited by applicant .
A. Patro, et al.; "Air Track: Locating Non-WiFi Interferers using Commodity WiFi Hardware," ACM SIGMOBILE Mobile Computing and Communications Review; vol. 15 Issue 4, pp. 52-54; Oct. 2011. cited by applicant .
K. Sayler, "A World of Proliferated Drones: A Technology Primer," https://www.cnas.org/publications/reports/a-world-of-proliferated--drones- -a-technology-primer; Jun. 10, 2015. cited by applicant .
T. Goodspeed, "Packets in Packets: Orson Welles' In-Band Signaling Attacks for Modern Radios," WOOT'11 Proceedings of the 5th USENIX conference on Offensive technologies; San Francisco, CA; 2011. cited by applicant .
N.O. Tippenhauer, et al; "On the Requirements for Successful GPS Spoofing Attacks," Conference: Proceedings of the 18th ACM Conference on Computer and Communications Security, CCS 2011, Chicago, Illinois, USA, Oct. 17-21, 2011. cited by applicant .
N. Kothari, et ai,; "Finding Protocol Manipulation Attacks," SIGCOMM '11 Proceedings of the ACM SIGCOMM 2011 conference pp. 26-37; Toronto, Ontario, Canada-Aug. 15-19, 2011. cited by applicant .
J. Bellardo and S. Savage, "802.11 Denial-of-Service Attacks: Real Vulnerabilities and Practical Solutions," SSYM'03 Proceedings of the 12th conference on USENIX Security Symposium vol. 12; pp. 2-2; Washington, DC---Aug. 4-8, 2003. cited by applicant .
Amirhossein Fereidountabar,Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari; "UAV Channel Estimation with STBC in MIMO Systems"; The International Conference on Advanced Wireless, Information, and Communication Technologies (AWICT 2015). cited by applicant .
Liu Tao, Hu Yonghui, Hua Yu, Wu Meifang; "Study on Autonomous and Distributed Time Synchronization Method for formation UAVs"; 2nd International Conference on Electrical, Computer Engineering and Electronics (IGECEE 2015). cited by applicant .
Hamed Rezaee, Farzaneh Abdollahi; "Synchronized Cross Coupled Sliding Mode Controllers for Cooperative UAVs with Communication Delays"; 51st IEEE Conference on Decision and Control; Dec. 10-13, 2012. Maui, Hawaii, USA. cited by applicant .
S. Rayanchu, et al.; "Airshark: Detecting Non-WiFi RF Devices using Commodity WiFi Hardware," IMC '11 Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference; pp. 137-154; Berlin, Germany-Nov. 2-4, 2011. cited by applicant .
Anderton, Donald C., "Synchronized Line-Scan LIDAR/EO Imager for Creating 3D Images of Dynamic Scenes: Prototype II," Utah State University, All Graduate Plan B and Other Reports, 2005, 148 pages. cited by applicant .
Gezer, Berat Levent, "Multi-Beam Digital Antenna for Radar, Communications, and UAV Tracking Based on Off--The Shelf Wireless Technologies," Thesis, Naval Postgraduate School, Sep. 2006, 127 pages. cited by applicant .
Pham, Tien, et aL, "TTCP AG-6: Acoustic Detection and Tracking of UAVs," Proceedings of SPIE, vol. 5417, 2004, pp. 24-30. cited by applicant .
Zhang, Shuqun, "Object Tracking in Unmanned Aerial Vehicle (UAV) Videos Using a Combined Approach," IEEE, 2005, pp. II-681-II-684. cited by applicant.

Ãëàâíûé ýêñïåðò: Bythrow; Peter M
Óïîëíîìî÷åííûé, äîâåðåííûé èëè ôèðìà: Nixon & Vanderhye, P.C.

Òåêñò ðåøåíèÿ-ïðåöåäåíòà




ÏÅÐÅÊШÑÒÍÀß ÑÑÛËÊÀ ÍÀ "ÐÎÄÑÒÂÅÍÍÛÅ" ÇÀßÂÊÈ



This application is a continuation of U.S. patent application Ser. No. 16/362,285, filed Mar. 22, 2019; which is a continuation of U.S. patent application Ser. No. 15/967,291 filed Apr. 30, 2018, now U.S. patent Ser. No. 10/281,570; which is a continuation of U.S. patent application Ser. No. 15/598,112 filed May 17, 2017, now U.S. Pat. No. 9,977,117; which is a continuation of U.S. patent application Ser. No. 14/821,907 filed Aug. 10, 2015, now U.S. Pat. No. 9,689,976; which claims benefit of U.S. Provisional Application No. 62/094,154 filed Dec. 19, 2014. The disclosures of the prior applications are incorporated herein in their entirety by reference.

ÔÎÐÌÓËÀ ÈÇÎÁÐÅÒÅÍÈß



The invention claimed is:

1. A method for detecting and defeating a drone comprising: utilizing a detection antenna array to scan for at least one of a drone control link and a video link associated with the drone; utilizing said detection antenna array to determine a source direction of the drone based on the at least one of the drone control link and the video link; utilizing a neutralization system to generate an interdiction signal, said interdiction signal at least partially generated with reference to the at least one of the drone control link and the video link; and utilizing a transmission antenna to transmit said interdiction signal.

2. The method of claim 1, further comprising: transmitting a first interdiction signal followed by transmitting a second interdiction signal; and providing a time interval between transmitting the first interdiction signal and transmitting the second interdiction signal to allow the detection antenna array to receive signals.

3. The method of claim 1, further comprising: detecting at least one additional drone; performing at least one of determining each drone's size, determining each drone's range, determining each drone's position, generating interdiction signals for each drone; and transmitting interdiction signals to each drone.

4. The method of claim 1, further comprising: comparing the video link to radio signatures stored in a library of downlink frequencies used by drones.

5. The method of claim 1, wherein the interdiction signal disrupts at least one of uplink signals and downlink signals.

6. The method of claim 1, further comprising identifying one or more drones using a transponder identification process.

7. The method of claim 1, further comprising tracking one or more drones using at least one of a radar, a laser range finder, a camera, and a radio receiver.

8. The method of claim 1, further comprising classifying one or more drones based on at least one of drone uplink signals and drone downlink signals.

9. The method of claim 1, further comprising generating a visual display of detected drone locations.

10. A system for detecting and defeating a drone comprising: a detection antenna array configured to scan for at least one of a drone control link and a video link associated with the drone, said detection antenna array configured to determine a source direction of the drone based on the at least one of the drone control link and the video link; a neutralization system configured to generate an interdiction signal, said interdiction signal at least partially generated with reference to the at least one of the drone control link and the video link; and a transmission antenna configured to transmit said interdiction signal.

11. The system of claim 10, wherein: the transmission antenna is configured for transmitting a first interdiction signal followed by transmitting a second interdiction signal; and the neutralization system is further configured to provide a time interval between transmitting the first interdiction signal and transmitting the second interdiction signal to allow the detection antenna array to receive signals.

12. The system of claim 10, wherein: the detection antenna array is configured for detecting at least one additional drone; and the system further includes a processor configured to perform at least one of determining each drone's size, determining each drone's range, and determining each drone's position.

13. The system of claim 10, further comprising a processor configured for comparing the video link to radio signatures stored in a library of downlink frequencies used by drones.

14. The system of claim 10, wherein the interdiction signal disrupts at least one of uplink signals and downlink signals.

15. The system of claim 10, wherein the detection antenna array is configured for identifying one or more drones using a transponder identification process.

16. The system of claim 10, further comprising at least one of a radar, a laser range finder, a camera, and a radio receiver configured to track one or more drones.

17. The system of claim 10, further comprising a processor configured for classifying one or more drones based on at least one of drone uplink signals and drone downlink signals.

18. The system of claim 10, further comprising a visual display configured for displaying detected drone locations.

19. An apparatus, comprising at least one processor, at least one memory in electronic communication with the at least one processor, and instructions stored in the at least one memory, the stored instructions comprising instructions executable by the at least one processor for: utilizing a detection antenna array to scan for at least one of a drone control link and a video link associated with the drone; utilizing said detection antenna array to determine a source direction of the drone based on the at least one of the drone control link and the video link; utilizing a neutralization system to generate an interdiction signal, said interdiction signal at least partially generated with reference to the at least one of the drone control link and the video link; and utilizing a transmission antenna to transmit said interdiction signal.

20. The apparatus of claim 19, further comprising instructions stored in the at least one memory executable by the at least one processor for controlling transmission of a first interdiction signal followed by transmission of a second interdiction signal, and providing a time interval between transmitting the first interdiction signal and transmitting the second interdiction signal to allow the detection antenna array to receive signals.

21. The apparatus of claim 19, further comprising instructions stored in the at least one memory executable by the at least one processor for: detecting at least one additional drone; performing at least one of determining each drone's size, determining each drone's range, determining each drone's position, generating interdiction signals for each drone; and controlling transmission of interdiction signals to each drone.

22. The apparatus of claim 19, further comprising instructions stored in the at least one memory executable by the at least one processor for comparing the video link to radio signatures stored in a library of downlink frequencies used by drones.

23. The apparatus of claim 19, wherein the interdiction signal disrupts at least one of uplink signals and downlink signals.

24. The apparatus of claim 19, further comprising instructions stored in the at least one memory executable by the at least one processor for identifying one or more drones using a transponder identification process.

25. The apparatus of claim 19, further comprising instructions stored in the at least one memory executable by the at least one processor for tracking one or more drones using at least one of a radar, a laser range finder, a camera, and a radio receiver.

26. The apparatus of claim 19, further comprising instructions stored in the at least one memory executable by the at least one processor for classifying one or more drones based on at least one of drone uplink signals and drone downlink signals.

27. The apparatus of claim 19, further comprising instructions stored in the at least one memory executable by the at least one processor for generating a visual display of detected drone locations.


ÎÏÈÑÀÍÈÅ




ÎÁËÀÑÒÜ ÒÅÕÍÈÊÈ, Ê ÊÎÒÎÐÎÉ ÎÒÍÎÑÈÒÑß ÈÇÎÁÐÅÒÅÍÈÅ



The present invention relates to an integrated detection and countermeasure solution against unmanned aerial systems, which are commonly referred to as drones.


ÏÐÅÄÏÎÑÛËÊÈ ÑÎÇÄÀÍÈß ÈÇÎÁÐÅÒÅÍÈß



Unmanned aerial systems, which are commonly referred to as drones, have become commercially available to the general public. While there may be many safe commercial and recreational uses for unmanned aerial systems these devices may potentially pose hazards to commercial and general aviation, the public, and private and government property if improperly operated. Furthermore unmanned aerial systems may be used to violate the privacy of personal, commercial, educational, athletic, entertainment and governmental activities. Most unfortunately unmanned aerial systems may potentially be used in the furtherance of invading privacy, or carrying out terrorist and/or criminal activities. There is a need for a device and method of detecting the approach of an unmanned aerial system towards a location where personal, public, commercial, educational, athletic, entertainment and governmental activities occur and where an unmanned aerial system could potentially be used for invading privacy, or carrying out terrorist and criminal activities. The present invention provides an integrated detection and countermeasure solution against unmanned aerial systems and offers increased security, privacy, and protection from the threats of violence involving small unmanned aerial vehicles/systems (sUAS) and is applicable to governmental, commercial, private, and public concerns.


ÑÓÙÍÎÑÒÜ ÈÇÎÁÐÅÒÅÍÈß



There is provided in accordance with the present invention a system that detects, identifies, tracks, deters and or interdicts small unmanned aerial vehicles/systems (sUAS) from ground level to several thousand feet above ground level. The system disclosed herein is an integrated solution comprising components using: existing technology for a new use; multiplexing hardware components designed for this application; and development of the integrating software which calculates the exact x, y, z coordinates of the subject sUAS; subject sUAS RF signal analysis to determine the most appropriate RF signal characteristics to affect the subject sUAS; precision alignment of high definition electro-optical (EO) sensors and infrared (IR) sensors and image recognition algorithms providing confirmation that the subject sUAS is in violation of airspace authorization. The integration of these components via the herein disclosed combination of software and hardware is novel, not related to existing art in purpose, is non-obvious, and provides a useful solution to uninvited, invasive and potentially hazardous sUAS operations.

The system of the present invention provides an integrated and diversified solution that can be deployed as a "permanent placement" or mobile system on land, sea, or air platform.

The system of the invention may be strategically deployed to monitor the airspace around a protected interest such as a property, place, event or very important person (VIP) offering 360 degree azimuth coverage extending from the receiving antennae of the system out to a maximum lateral distance of about 2 kilometers (6560 feet) and within the lateral boundaries up to a maximum altitude of about 1.5 kilometers (4920 feet) above ground level (AGL).


ÊÐÀÒÊÎÅ ÎÏÈÑÀÍÈÅ ÐÈÑÓÍÊÎÂ



FIG. 1 is a schematic representation of the components and function of an integrated detection and countermeasure system for use against unmanned aerial systems.

FIG. 2 is a schematic representation of a countermeasure and interdiction to UAS system of the integrated detection and countermeasure system for use against unmanned aerial systems, 44 of FIG. 1.

FIG. 3 is a schematic representation of the Radio Frequency (RF) detection system of the integrated detection and countermeasure system for use against unmanned aerial systems, 44 of FIG. 1.

FIG. 4 is a schematic representation of the Radar detection system and Electro Optical and Infer Red (EO/IR) detection system of the integrated detection and countermeasure system for use against unmanned aerial systems, 44 of FIG. 1.


ÏÎÄÐÎÁÍÎÅ ÎÏÈÑÀÍÈÅ ÈÇÎÁÐÅÒÅÍÈß



Part Numbers

10 Transmitting multi band high gain directional antenna array with vertical polarity 12 Receive directional antenna array 14 Receive Omni antenna array 16 EO/IR (Electro Optical/Infra Red) sensor 18 Automatic antenna alignment assembly 20 Multi-band LNA assembly 22 Automatic antenna alignment assembly 24 High fidelity RF receivers/host work station CPU 26 Azimuth and elevation vector coordinate data processor 28 Empower 1189-BBM3 wideband HPA assembly 30 Receive blanking 32 Direction detect and range estimation 34 Key sight N9310A RF signal generator with multiple modulation sources 36 Spectral signals detect and type identification 38 ECM modulation type select 40 Frequency and waveform parameters 42 Modulation database 43 Commercial 4 k.times.band radar 44 Subject UAS (Unmanned Aerial System) 45 Radar clutter and target filter processor 46 Azimuth and elevation vector coordinate data processor 99 System power and status monitor 100 Entire system 102 Countermeasure and deterrent section of entire system 103 Radio Frequency (RF) detection section of entire system 104 Radar detection section of entire system 105 Electro Optical and Infer Red (EO/IR) detection section of entire system

Glossary

As used herein and in the claims each of the terms defined in this glossary is understood to have the meaning set forth in this glossary.

Algorithm--a process or set of rules to be followed in calculations or other problem-solving operations by a computer

Automatic Antenna Alignment Assembly--designated as 18 in FIGS. 1, 2 and 3, and as 22 in FIGS. 1 and 4, is specialized electronic equipment specifically designed to automatically point the directional antennae and or camera, laser systems to the desired location, namely a small unmanned aerial vehicles/systems (sUAS) designated as a target 44 in FIG. 1, based on longitude and or latitude information gained or received by the receiving antennae, designated as 12 and 14 in FIGS. 1 and 3, and or radar antennae designated as 43 in FIGS. 1 and 4; this specialized equipment can be purchased from and is proprietary to EnrGies Engineering located in Huntsville, Ala.

Azimuth and Elevation Vector Coordinate Data--designated as 26 in FIGS. 1 and 4, is specialized algorithm software that has been developed to be used with a spherical coordinate system for three-dimensional space where three numbers specify the position of a point measured in latitude, longitude and elevation obtained from an EO/IR Sensor designated as 16 in FIGS. 1 and 4 that includes a Laser Range Finder, and/or Radar designated as 43 in FIGS. 1 and 4

Blanking--designated as 30 in FIGS. 1, 2 and 3 is the time between the last radio transmitting signal and the beginning of the next radio transmitting signal

C2 Communications--Command and Control Communications links

Commercial--relating to or engaged in commerce (i.e. NON-military)

Counter--to offer in response or act in opposition

CUASs2--Counter Unmanned Aerial Systems of Systems, the system of the present invention used to detect, identify and deter or interdict unmanned aerial vehicles or systems

Directional Antenna--designated as 10 in FIGS. 1 and 2, and 12 in FIGS. 1 and 3, a class of directional or beam antenna that radiates greater power in one or more directions allowing for increased performance on transmits and receives and reduced interference from unwanted sources

Direction Detection and Range Estimation--designated as 32 in FIGS. 1-4, is specialized algorithm software that has been developed to detect a suspected target or signal of interest and calculated to obtain the azimuth and distance to that target or signal of interest based on data obtained by the Radio Frequency (RF) detection section 103 in FIG. 3, the Radar detection section 104 in FIG. 4, and the Electro Optical and Infer Red (EO/IR) detection section 105 in FIG. 4

DF--designated as 12 in FIGS. 1 and 3, Direction Finding refers to the measurement of the direction from which a received signal was transmitted, this can refer to radio or other forms of wireless communication

Drone--designated as 44 in FIG. 1, refers to an unmanned aircraft operated by remote control, allows for human correction (i.e. semi-autonomous), or autonomous, see also UAV, UAS, sUAS, RPA

EAR--Export Administration Regulations are regulations that are administered by the United States Department of Commerce and regulate the export of "dual use" items; technology designed for commercial purposes and with potential military applications, such as computers, software, aircraft, and pathogens as well the re-export of items

Electro-Optical and Infrared Sensors--designated as 16 in FIGS. 1 and 4, is a combination of a standard high definition video camera capable of viewing in daylight conditions and an infrared video camera capable of viewing in the infrared light perspective; both camera systems can be purchased "Off-The-Shelf" as common technology, one common manufacturer of this type of camera systems is FLIR Systems

Electronic Counter Measure (ECM) Modulation Type Select--designated as 38 in FIGS. 1-3 is specialized algorithm software that has been developed to help narrow down the radio frequency identified by a modulation lookup table (defined in this glossary) of the specific unmanned aerial vehicle/system of interest, designated as a target 44 in FIG. 1, utilizing a database library that was created and categorized with the specific radio frequencies common to all unmanned aerial vehicles/systems

Emitter--to send or give out a matter of energy

EO--Electro-Optics is a branch of electrical engineering and materials science involving components, devices and systems that operate by modification of the optical properties of a material by an electric field, thus it concerns the interaction between the electromagnetic (optical) and the electrical (electronic) states of materials

Frequency--the rate at which a vibration occurs that constitutes a wave, either in a material (as in sound waves), or in an electromagnetic field (as in radio waves and light), usually measured per second

Frequency and Waveform Parameters--designated as 40 in FIGS. 1-3, Is specialized algorithm software that has been developed to identify unmanned aerial vehicles/systems utilizing a database library that was created and categorized with the specific radio frequency waveform common to all unmanned aerial vehicles/systems

IR--infrared is invisible (to the human eye) radiant energy, electromagnetic radiation with longer wavelengths than those of visible light, extending from the nominal red edge of the visible spectrum at 700 nanometers (frequency 430 THz) to 1 mm (300 GHz)

ISR--Intelligence, Surveillance, Reconnaissance is an activity that synchronizes and integrates the planning and operation of sensors, assets, and processing, exploitation, and dissemination systems in direct support of current and future operations

ITAR--International Traffic in Arms Regulations is a set of United States government regulations that control the export and import of defense-related articles and services on the United States Munitions List (USML)

Jam or Jammed or Jammers or Jamming--to interfere with or prevent the clear reception of broadcast signals by electronic means to become unworkable or to make unintelligible by sending out interfering signals by any means

Laser--a device that emits light through a process of optical amplification based on the stimulated emission of electromagnetic radiation

Laser Range Finder--designated as 16 in FIGS. 1 and 4, is a rangefinder which uses a laser beam, usually pulsed, to determine the distance to an object

LED--Light-Emitting Diode is a semiconductor device that emits visible light when an electric current passes through it

Matrix--an environment in which something develops

Matrix Directional Transmit Antenna Array--designated as 10 in FIGS. 1 and 2, Is a signal processing technique used in sensor (Antenna) arrays for directional signal transmission; this is achieved by combining elements in a phased array in such a way that signals at particular angles experience constructive interference while others experience destructive interference; his equipment can be purchased "Off-The-Shelf" and one common manufacturer of this type of equipment is Motorola

Mobile Platform (MP)--the mobile Counter Unmanned Aerial System of Systems equipment installed on any vehicle with the intent to move from one location to another location as needed to fulfill a short-term need in the detection, identification and deterrence or interdiction of an unmanned aerial vehicle

Modulation--the process of varying one or more properties of a periodic waveform, called the carrier signal, with a modulating signal that typically contains information to be transmitted

Modulation Function Generation--designated as 34 in FIGS. 1-3, Is specialized algorithm software that has been developed to transmit (Jam) a specific radio frequency, designated by 38 in FIGS. 1-3 and 42 in FIGS. 1 and 3, which is unique to a specific unmanned aerial vehicles/systems utilizing a database library that was created and categorized with the specific radio frequencies used on all common unmanned aerial vehicles/systems

Modulation Lookup Table--designated as 42 in FIGS. 1 and 3, is specialized algorithm software that has been developed to identify the broad range of radio frequencies being used by a specific unmanned aerial vehicle/system of interest, designated as a target 44 in FIG. 1, utilizing a database library that was created and categorized with the specific radio frequencies common to all unmanned aerial vehicles/systems

Multi-Band--a communication device that supports multiple radio frequency bands

Multiband Low Noise Amplifier (LNA) Assembly--designated as 20 in FIGS. 1 and 3, is a multi-radio frequency electronic amplifier used to amplify possibly very weak signals, for example captured by an antenna

Omni-directional Antenna--designated as 14 in FIGS. 1 and 3, a class of antenna which receives or transmits radio wave power uniformly in all directions in one plane, with the radiated power decreasing with elevation angle above or below the plane, dropping to zero on the antenna's axis

OTS--Off The Shelf refers to materials or equipment that currently exists and is readily available for purchased or use

Permanent Platform (PP)--the installation of the Counter Unmanned Aerial System of Systems equipment at a specific location to fulfill a long-term need in the detection, identification and deterrence or interdiction of an unmanned aerial vehicle

Pulse--a single vibration or short burst of sound, electric current, light, or other wave

RPA--Remotely Piloted Aircraft, aka UAV, UAS

RF--Radio Frequency is a rate of oscillation in the range of around 3 kHz to 300 GHz, which corresponds to the frequency of radio waves, and the alternating currents that carry radio signals

Receive Blanking--designated as 30 in FIGS. 1-3, is specialized algorithm software that has been developed to stop the receiving antennae, designated as 12 and 14 in FIGS. 1 and 3, from receiving radio frequency signals during the time that the counter measure transmitting frequency, designated as 34 in FIGS. 1-3, is being transmitted by directional transmitting antennae, designated as 10 in FIGS. 1 and 2, for the purpose of deterrence or interdiction of the suspect unmanned aerial vehicle/system, designated as a target 44 in FIG. 1, identified as a known threat

Receive Directional Antenna Array--designated as 12 in FIGS. 1 and 3, refers to multiple receiving antennae arranged such that the superposition of the electromagnetic waves is a predictable electromagnetic field and that the currents running through them are of different amplitudes and phases; this equipment can be purchased "Off-The-Shelf" and one common manufacturer of this type of equipment is Motorola

Receive Omni Antenna Array--designated as 14 in FIGS. 1 and 3, is a class of antenna that receives radio wave power uniformly in all directions in one plane; this equipment can be purchased "Off-The-Shelf" and one common manufacturer of this type of equipment is Motorola

STC--Slew To Cue, the autonomous actions of electronic, radio or optical sensors to rotate using an automatic antenna alignment assembly designated as 18 in FIGS. 1-3, and 22 in FIGS. 1 and 4 to move and point cameras 16 in FIGS. 1 and 4 and countermeasures 10 in FIGS. 1 and 2 in the direction of a suspect target 44 in FIG. 1, based on input from data processed by components 26 in FIGS. 1 and 4, and 46 in FIGS. 1, 3 and 4, thus, keeping the "cued" targets in view at all times with or without human intervention

Spectral Signal--designated as 36 in FIGS. 1 and 3, the frequency spectrum of a time-domain signal is a representation of that signal in the frequency domain

Spectral Signal Detection and Type Identification--designated as 36 in FIGS. 1 and 3, is specialized algorithm software that has been developed to detect and identify unmanned aerial vehicles/systems utilizing a database library that was created and categorized with the spectral signatures common to all unmanned aerial vehicles/systems

sUAS--designated as 44 in FIG. 1 small Unmanned Aerial System, usually weighing less than 20 kg or 55 lbs.

Target--designated as 44 in FIG. 1, something or someone of interest to be affected by an action or development

Target Tracking Log--a graphic or table of coordinates documenting the target's path in space during area of concern

Technology--the application of science, especially to industrial or commercial objectives

Threat--a declaration or an act of an intention or determination to inflict the destruction of property or harm, punishment, injury or death of person(s)

UAS--designated as 44 in FIG. 1, Unmanned Aerial System, Unmanned Aircraft System (aka UAV, RPA)

UAV--designated as 44 in FIG. 1, Unmanned Aerial Vehicle, Unmanned Aircraft Vehicle (aka UAS, RPA)

Uplink--the part of a network connection used to send, or upload, data from one device to a remote device

Uplink Video/Radio Transmitter Assembly--designated as 28 in FIGS. 1 and 2, is a device that will take the received radio or video frequency information from database libraries designated as 36 in FIGS. 1 and 3, 40 in FIGS. 1-3, and 42 in FIGS. 1 and 3 and send it through a radio amplifier designated as 34 in FIGS. 1-3 to a transmitting directional antenna or matrix directional transmit antenna array designated as 10 in FIGS. 1 and 2; this equipment can be purchased "Off-The-Shelf" and one common manufacturer of this type of equipment is Motorola

Uplink/Video Standard Definition (SD) Receiver & Host Workstation--designated as 24 in FIGS. 1 and 3, is a connection from the antennae to the video encoder where the information is processed by the main computer network; the uplink equipment can be purchased "Off-The-Shelf" and one common manufacturer of this type of equipment is Cisco Systems; the video receiver and main computer is also "Off-The-Shelf" technology and are readily available from numerous manufacturers

Vector--a quantity having direction as well as magnitude, especially as determining the position of one point in space relative to another

Watt--the system unit of power, equivalent to one joule per second, corresponding to the power in an electric circuit in which the potential difference is one volt and the current one ampere

Waveform--a graphic representation of the shape of a wave that indicates its characteristics as frequency and amplitude

Referring to FIGS. 1-4 there are shown schematic representations of the components and function of an integrated detection and countermeasure system 100 for use against unmanned aerial systems 44. A first function of the system is locating and identifying a UAS target. The present invention provides integrated detection sections 103-105 and deterrent/countermeasure section 102 against small unmanned aerial vehicles/systems (sUAS), which are commonly referred to as drones, in the vicinity of, or approaching the vicinity of a property, place, event or very important person (VIP). All sUAS's have a distinct set of spectral signatures (sound, heat, radar cross section, radio frequency wave pattern) detected by a spectral signal identifier processor 36. This fact is the basis for the detection sections 103-105 of the system 100 of the present invention and sections 103-105 is the first function of the system. Using a proven high-end direction finding (DF) high fidelity RF receiver 24 coupled with omnidirectional and directional antennae 12, 14 and unique created software of the system when the RF signature of the sUAS flying within the system's detection boundaries is detected, for example within maximum lateral distance of about 2 kilometers (6560 feet) and within the aerial boundaries up to a maximum altitude of about 1.5 kilometers (4920 feet) above ground level (AGL). This element of the system may be augmented and is shown with additional signature detection elements consisting of acoustic and/or radar sensors 43 and electro optical sensors 16. These elements operate with unique software translating discernable signatures into coherent data aiding in the detection and location process. All signature data is then processed to generate a reference azimuth and elevation 26, 46 from the sensor to the subject sUAS 44. The information generated by the systems detection section is then passed electronically to the direction and range estimation processor 32 to yield a target's location. The system 100 of the present invention uses the hardware and software of the Radio Frequency (RF) detection section 103 to identify the type of sUAS and the associated known and observed radio frequencies signatures required for the sUAS communications and video data exchange.

A second function of the system is providing countermeasures against sUAS that is determined to be a threat in or approaching the vicinity of a property, place, event or VIP. Azimuthal data for a sUAS is determined by the detection section 103-105 of the system. The system's control software/hardware provides this information to the integrated Electro-Optical (EO) and Infrared (IR) sensor 16 which autonomously centers the field of regard of the EO/IR sensor to the known location of the subject sUAS 44. When the visual identification is confirmed to be a sUAS; by either video analytics or human verification, the system of invention's software/hardware will then determine the precise x, y, z coordinates (x=longitude, y=latitude, z=altitude) of the sUAS. This precise location and range information is provided to the countermeasure and deterrent section 102 of the system 100. Using this data the countermeasure and deterrent section 102 computes the RF spectral characteristics that will nullify signals that the sUAS expects to receive. A signal generator 34 produces a tailored signal and a variable strength amplifier 28 generates the output power required; causing the desired effect at the desired range to the subject sUAS 44. The countermeasure and deterrent section 102 broadcasts the unique generated RF waveform using highly directional and focused antennae 10. The system uses Blanking 30 at the time between the last radio transmitting signal and the beginning of the next radio-transmitting signal of the transmitted signal in accordance with the frequency and waveform parameters 40 to avoid negative internal effects to system 103. The system then disables the sUAS sensors, or causes the sUAS navigation system to malfunction due to communication interference causing most sUAS to enter a "Fail Safe Mode" (either land immediately or return to the launch point). This action is sUAS specific and is based on the manufacturer design and sUAS operational capabilities.

The interdict element of a system of the present invention interdicts the operation of an sUAS initially in a non-destructive manner, increasing to a destructive manner based on the response of the target sUAS. A system of the present invention may interdict the operation of a sUAS in a non-destructive manner by transmitting a concentrated Radio Frequency (RF) emission tuned to the specific sUAS characteristics identified by the spectral analysis during the detection process. These RF waveforms are then used to disrupt the expected inputs to the onboard controller of the identified sUAS. The video downlink signal is the initial target of the interdiction process. If this interruption is not sufficient to deter the sUAS, the RF transmitter will be tuned to the appropriate control frequency to disrupt the sUAS on-board electronics. These actions will cause most sUAS to enter the Fail Safe Mode (either land immediately or return to the launch point). The present invention considers the differences based on the manufacturer design and operational capabilities of the sUAS on a case-by-case basis and tailors the inventions countermeasure/deterrent response accordingly.

The countermeasure and deterrent section 102 of the system 100 interdicts the operation of an sUAS in a non-destructive manner by using the non-destructive technology described to generate a interdict transmission signal that is significantly stronger than control signals from an operator of the sUAS. This interdict transmission will have significantly higher gain (Stronger Signal) and target both the sensor and the control electronics of the sUAS. The interdiction process may be augmented with electro-magnetic pulse technology, pulsed laser and is specifically designed to accept other current or future counter-measures used to defeat the sUAS' electronics, motors and or navigation systems. The effects of the higher gain radio transmission will cause amongst other effects, servo-chatter, resulting in the loss of control of the sUAS and disruption of most on-board electronic processes increasing the probability of a forced landing. In addition, a counter sUAS can be dispatched with autonomous navigation data being supplied by the system of present invention to locate and intentionally disable the opposing sUAS by flying into it, dropping a net on the threat, covering it with spray foam or liquid or capturing the opposing sUAS.

The system of the present invention will use direction finding (DF) equipment 12, 16 to search for the radio communications link of an airborne sUAS 44, commonly referred to as a drone. Integrating multiple Direction Finding (DF) equipment 26, 46 to the system of the present invention will increase the precision in obtaining the azimuth that the sUAS is flying. Integrating radar equipment 43 provided with a radar clutter and target filter processor 45, with the direction finding (DF) equipment will provide the present invention the ability to determine with greater accuracy the altitude and azimuth of the sUAS 44 at the time of discovery and during the time it remains within the systems detection boundaries.

When the DF equipment 26, 46 has detected a communication link of a sUAS within the system boundaries, the receive host workstation 24 will analyze the radio frequency wave signature and confirm that the RF detected is from a sUAS. This process also applies when a radar unit 43 is integrated with the DF equipment.

The information obtained from DF 26, 46 and or radar unit 43 is then sent to the direction detect and range estimation unit 32 where algorithms will be used to send sUAS location coordinates to the Automatic Antenna Alignment Assembly (A4) 22, 18. Put another way, using Slew To Cue, the autonomous actions of electronic, radio or optical sensors to rotate using an automatic antenna alignment assembly 18, 22 to move and point cameras 16 and countermeasures in the direction of a suspect target 44 based on input from data processed by the azimuth and elevation unit 26 46, thus, keeping the "cued" targets in view at all times with or without human intervention. This information will then direct the Automatic Antenna Alignment Assembly (A4) 22 to point the Electro-Optical and Laser Range Finding unit 16 at the sUAS to allow for visual confirmation, distance and elevation of the sUAS to be known.

The information obtained by the Laser Range Finding equipment will be sent to the Azimuth and Elevation Vector Coordinate Data unit 26 which will send exact azimuth and elevation information to the A4 system 18 controlling the Matrix Directional Transmit Antenna Array 10 via the Direction Detect and Range Estimation unit 32.

When the communications link between the subject sUAS and its' operator is detected by the Radio Frequency (RF) detection section 103 of the system the information is passed through the Multiband LNA Assembly 20 and through the Uplink Receive Host Workstation 24. The information is then sent to the Spectral Signal Detect and Type Identification unit 36 where the type of sUAS is determined based on a known database containing Spectral Signal Wave information 36. When the Spectral Signal Wave information is known the information is sent to the Frequency and Wave Form Parameters unit 40 where the analyzed RF data is sent to the Modulation Look Up Table 42. When the Modulation information is known the information is then sent to the ECM Modulation Type Select unit 38.

The selected modulation waveform is then sent to the Uplink Video Transmitter Assembly 28 that unit works in conjunction with the Receive Blanking unit 30. When the Uplink Video Transmitter 28 is transmitting a radio signal the Receive Blanking unit 30 will force the DF antennae 12, 14 to stop receiving the radio frequency being transmitted by the Matrix Directional Transmit Antenna Array 10. The radio frequency selected to disrupt the communication link of the sUAS with its' operator is then transmitted by the Transmitter Assembly 28 using the Matrix Directional Transmit Antenna Array 10 aimed at the sUAS 44 via the Automatic Antenna Alignment Assembly 18.

While the invention has been described with reference to certain exemplary embodiments, obvious modifications and alterations are possible by those skilled in the related art. Therefore, it is intended that the invention include all such modifications and alterations to the full extent that they come within the scope of the following claims or the equivalents thereof.

* * * * *