Application of time-frequency Radon transform in feature extraction of laser micro-Doppler effect

Since laser micro-Doppler has important applications in detecting the complex vibration of a moving target, discrete wavelet transform multi-resolution analysis is used to represent the experimental data of laser micro-Doppler for detecting complex vibration of moving target to study the signal characteristics at different scales. Radon transforms and time-frequency analysis are combined together to analyze the experimental signal of vibrating target in time-frequency domain. Results show that this method is suitable for recognizing micro-Doppler signal, and it can suppress the cross terms interference produced by the time-frequency distribution of multi-component signals and efficiently extract features of the vibrating target for detection, identification and classification.