Research on the life detection based on mirco Doppler features

This paper carries out research on life detection by micro Doppler. Micro motion parameters can be estimated through extracting the micro Doppler signatures. The article establishes the human body model and radar echo model. Then STFT, CWT and generalized S transform are analyzed and compared to extract micro Doppler signatures, and improvement of generalized S transform is carried out to enhance its frequency aggregation and noise suppression ability. Then principal component analysis and support vector machine are studied. By extracting principal components from the micro Doppler spectrum as input of support vector machine, classification and identification is complished. The simulation results show the improved generalized S transform has better recognition accuracy in noise condition.