Multipath utilization through-the-wall radar imaging method based on Bayes compression perception

Abstract

The invention discloses a multipath utilization through-the-wall radar imaging method based on the Bayes compression perception. A single station single transceiving antenna frequency stepping radar system is used for emitting pulse strings in multiple positions parallel to a wall face and acquiring echo signals; compression sampling is performed on the echo signals by randomly measuring a matrix so as to obtain relatively few measurement signals; then, by combining a dictionary construction compression perception model designed based on the multipath reflection characteristics of the wall face, the Bayes compression perception is used for reconstructing information of scenes after the wall face from the measurement signals; and finally the reconstructed information is sued for finishing through-the-wall radar imaging. According to the invention, cost is reduced; recording time is shortened; by use of the Bayes compression perception technology, calculation speed is quite fast, and required observation data are quite few; and the precision of images obtained through combination of the multipath utilization method is quite high and occurrence of false shadows is effectively inhibited.

Description

technical field [0001] The invention belongs to the technical field of through-wall radar imaging, and in particular relates to a method for achieving the purpose of through-wall imaging by using the principle of Bayesian Compressive Sensing (BCS) and utilizing the wall multipath reflection phenomenon to process radar received signals. Background technique [0002] In recent years, through-wall radar imaging technology has received more and more attention in both military and civilian fields. In many scenarios such as building demolition, post-disaster rescue, and urban anti-terrorism operations, there are problems in detecting hidden targets inside buildings or behind obstacles. Traditional through-the-wall radar systems often need to use multiple observation antennas as a large physical aperture or move a single observation antenna to multiple observation positions to synthesize a large aperture to obtain greater distance resolution. In this way, the system cost is high a...

AI Technical Summary

Problems solved by technology

[0004] Although CS-based imaging methods can effectively reduce data sampling time, data volume and save signal bandwidth, the application scenarios of through-wall radar imaging technology often have the characteristics of low signal-to-noise ratio, and under the influence of multi-path reflection phenomenon of the wall , the imaging quality of traditional CS technology is not high, and false targets (or "ghost images") will appear

Images