Time-Frequency Analysis using V-band Radar for Drone Detection and Classification
- Resource Type
- Conference
- Authors
- Lam, Ian; Pant, Shashank; Manning, Max; Kubanski, Michael; Fox, Peter; Rajan, Sreeraman; Patnaik, Prakash; Balaji, Bhashyam
- Source
- 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Instrumentation and Measurement Technology Conference (I2MTC), 2023 IEEE International. :1-6 May, 2023
- Subject
- Bioengineering
Engineering Profession
General Topics for Engineers
Signal Processing and Analysis
Time-frequency analysis
Continuous wavelet transforms
Airborne radar
Radar detection
Rotors
Receivers
Autonomous aerial vehicles
Radar
Drone classification
Drone detection
Microwave
Multi-radar
HERM
V-band
wavelet
- Language
- ISSN
- 2642-2077
Detection and classification of unmanned aerial vehicles (UAV), namely drones, is an active area of research. Radars are all-weather instrument that operate in various frequency bands and are used for monitoring drone activities. However, little experimental work has been done with radars that operate in the V-band (40 GHz to 75 GHz) portion of the electromagnetic spectrum. This paper presents drone detection data collected using a 66 GHz research radar from aiRadar Inc. Micro-Doppler signatures of the rotating drone rotors are extracted using short-time Fourier transform (STFT) and continuous wavelet transforms (CWT). It was determined that the complex Morlet wavelet provides more detailed micro-Doppler features that can be used for classifying different drones.