TY - GEN
T1 - A Sub-THz Micro-Doppler Radar for Counter-Surveillance Applications
AU - Kashyap, Bharath G.
AU - Trichopoulos, Georgios C.
N1 - Publisher Copyright:
© 2023 USNC-URSI.
PY - 2023
Y1 - 2023
N2 - We present a technique for detecting drones by exploiting their unique micro-Doppler signatures. While most commercially available drones are usually employed for recreational activities, their advantageous features, such as excellent camera resolution, load bearing capabilities, etc., could be misused to carry out illegal surveillances, drug trafficking etc. Because of their low-radar cross section (RCS) profile and low speed, it is difficult to detect drones using conventional radar systems. Moreover, additional information is needed to further distinguish them from surrounding clutter, such as birds. To address these issues, we have designed a sub-THz continuous wave (CW) micro-Doppler radar that can capture the micromotions unique to drones. The radar operates at 270 GHz and can successfully discriminate the rotational and translational motions of the targets. A real-world experimental setup is built to demonstrate the operation of the proof-of-concept radar designed in this work. A simple classification technique based on Short-Time Fourier Transform (STFT) is used to extract the micro-Doppler features of the drones.
AB - We present a technique for detecting drones by exploiting their unique micro-Doppler signatures. While most commercially available drones are usually employed for recreational activities, their advantageous features, such as excellent camera resolution, load bearing capabilities, etc., could be misused to carry out illegal surveillances, drug trafficking etc. Because of their low-radar cross section (RCS) profile and low speed, it is difficult to detect drones using conventional radar systems. Moreover, additional information is needed to further distinguish them from surrounding clutter, such as birds. To address these issues, we have designed a sub-THz continuous wave (CW) micro-Doppler radar that can capture the micromotions unique to drones. The radar operates at 270 GHz and can successfully discriminate the rotational and translational motions of the targets. A real-world experimental setup is built to demonstrate the operation of the proof-of-concept radar designed in this work. A simple classification technique based on Short-Time Fourier Transform (STFT) is used to extract the micro-Doppler features of the drones.
KW - drone
KW - micro-Doppler
KW - time-frequency analysis
UR - http://www.scopus.com/inward/record.url?scp=85178258380&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85178258380&partnerID=8YFLogxK
U2 - 10.23919/USNC-URSI54200.2023.10288625
DO - 10.23919/USNC-URSI54200.2023.10288625
M3 - Conference contribution
AN - SCOPUS:85178258380
T3 - 2023 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), AP-S/URSI 2023 - Proceedings
SP - 25
EP - 26
BT - 2023 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), AP-S/URSI 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), AP-S/URSI 2023
Y2 - 23 July 2023 through 28 July 2023
ER -