Extraction of Unaliased High-Frequency Micro-Doppler Signature using FMCW radar

TL;DR

This paper presents a novel method for extracting high-frequency micro-Doppler signatures from FMCW radar data, effectively addressing aliasing and noise issues through advanced signal processing techniques.

Contribution

The proposed approach combines fast time processing, range-Doppler filtering, and empirical mode decomposition to improve micro-Doppler signature extraction from FMCW radar signals.

Findings

Effective aliasing mitigation demonstrated in simulations and experiments

Enhanced noise suppression using EMD and RD filtering

Successful extraction of unaliased high-frequency micro-Doppler signatures

Abstract

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.