Micro-Doppler signature is a potent feature that has been used for target identification and micro-motion parameter estimation. The extraction of high frequency micro-Doppler signature from frequency modulated continuous wave (FMCW) radar along with the target range and velocity is the problem considered in this article. The severe aliasing of the high micro-Doppler frequency spread is circumvented by the fast time processing in the proposed method. The use of range-Doppler (RD) filtering and empirical mode decomposition (EMD) enables effective out-of-band and in-band noise suppression. Simulation studies and experimental results present the effectiveness of the proposed approach.
@article{arxiv.2204.09621,
title = {Extraction of Unaliased High-Frequency Micro-Doppler Signature using FMCW radar},
author = {Soorya Peter and Vinod Veera Reddy},
journal= {arXiv preprint arXiv:2204.09621},
year = {2022}
}