UAV micro-Doppler signature analysis using FMCW radar

Besides the detection of targets and estimation of their parameters, micro-motions of various target parts, that give rise to micro-Doppler signatures, are extracted from Radar acquisitions for target identification. Frequency modulated continuous-wave (FMCW) radar is identified to have the potential to perform both the activities. Due to high rotation rate of the rotor blades in unmanned aerial vehicles (UAV), the micro-Doppler frequency variation is significantly high giving rise to aliasing effect. In this work, we first study the signal model of FMCW radar in the presence of UAV. A new approach is then presented for the study of high frequency micro-Doppler signatures. Simulation example and experimental data show the efficacy of the approach for micro-Doppler signature analysis.