Micro-Doppler Signal Analysis Based on the Generalized S Transform for Radar Targets

The Generalized S transform (GST), which combines advantages of the Short time Fourier transform (STFT) and the Continuous wavelet transform (CWT), is an effective method to analyze and extract time-frequency features On the basis of micro-Doppler effect in radar echo, an improved GST with adjusted window function was introduced, and its expression as operation of the Fourier spectrum was developed Simulated radar signals of typical micro-Doppler modulation were applied to compare and test the GST and other three common time-frequency techniques The experimental results show that the GST with adjusted window function is a noise robust and adaptive transform, reduces computational burden, and provides more details of the local time-frequency features used to improve resolution and parameter estimation of micro-motion, which demonstrates its effectiveness in micro-Doppler signal analysis