An Algorithm for Extracting Respiration and Heartbeat Signals from FMCW Broadband Life Detection Radar

Abstract

The present invention provides an FMCW broadband life detection radar breathing and heartbeat signal extraction algorithm. Compared with the prior art, the algorithm has the advantages that breathing and heartbeat signals of multiple persons can be obtained simultaneously, the boundaries and energy of reconstructed breathing signals can be very well kept by using Coiflets wavelets compared with traditional frequency-domain filtering, especially processing conducted on short-time signals is obvious, higher harmonics of the breathing signals are filtered out by adopting a double-coefficient based LMS self-adaptive filtering algorithm, and the self-adaptive filtering algorithm does not need additional reference signals. Due to the fact that a degressive search step size coefficient is adopted in the algorithm, the heartbeat signals can be better retained while breathing signal harmonics are filtered out, the heartbeat signals can be rapidly converged by selecting the appropriate search step size coefficient and adopting the double-coefficient based LMS self-adaptive filtering algorithm, and smaller stable imbalance is kept in longer time, so that finally separated heartbeat signals are more accurate in frequency component within a long time.

Description

technical field [0001] The present invention is an FMCW broadband life detection radar breathing and heartbeat signal extraction algorithm, relates to the field of radar life detection technology and signal processing, specifically a FMCW wideband life detection radar breathing and heartbeat based on wavelet transform and double-coefficient LMS adaptive filtering Signal extraction algorithm. Background technique [0002] The multi-life detection system based on Frequency Modulated Continuous Wave (FMCW) broadband radar can penetrate non-metallic media (brick walls, ruins and clothes, etc.) and is not easily affected by ambient temperature and hot objects, so it can better solve It solves the problems that laser and infrared detection effects are seriously affected by temperature, failure to block objects, and high false alarm rate. It also overcomes the problems of ultrasonic detection effects being interfered by reflections from environmental debris and failure to block wat...

AI Technical Summary

Problems solved by technology

So far, radar life detection technology has not fully solved the problem of identifying multiple stationary human targets

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