An Imaging Preprocessing Method for Through-Wall Radar Based on Target Trajectory Extraction

Abstract

The invention relates to an imaging preprocessing method of through-wall radar based on target track extraction, which belongs to the technical field of through-wall radar. The present invention first determines the position of the wall on the basis of the distance image before the cancellation of the target echo, and uses the wall position to divide the detection area; secondly, cancels the distance images of two consecutive cycles to highlight the target information; then, In the divided detection area of ​​the distance image after cancellation, adaptive threshold processing is performed cycle by cycle to distinguish the target from the background and then find the position of the target and limit the width of the target track; finally, the data of the area covered by the target track is imaged, thus The resulting radar image only contains target information. The present invention preprocesses the echo data of the through-wall radar based on the multi-transmit and multi-receive configuration, determines the position of the wall, divides the detection area, and then extracts the target track, significantly enhances the imaging effect, and suppresses the target expansion caused by the closed scene in the radar image and multipath interference.

Description

technical field [0001] The invention belongs to the technical field of through-wall radar, in particular to an environment interference suppression technology in the through-wall radar imaging technology. Background technique [0002] Through-the-wall radar technology mainly uses the penetration of radar electromagnetic waves to detect hidden targets in closed wall spaces. It is widely used in military and civilian fields such as street fighting, anti-terrorism, and disaster relief. However, due to the existence of the wall environment, it will have a certain impact on the final radar imaging effect. This impact mainly includes two aspects. First, due to the fact that the actual wall itself has obvious layers and uneven distribution of materials , which makes the electromagnetic waves refract and scatter after passing through the wall, and finally reflected on the radar image, the target will expand or defocus; second, due to the existence of the entire enclosed space, the e...

AI Technical Summary

Problems solved by technology

In terms of suppressing target expansion, my country's National University of Defense Technology uses the estimation of wall parameters, and then corrects the refraction model of electromagnetic waves according to the estimated wall parameters, and then expands, suppresses and repositions the targets in the radar image. It has achieved good imaging results in a specific wall environment. However, the estimation of wall parameters is more complicated and the accuracy is difficult to guarantee. It is difficult to effectively estimate the parameters of the wall in actual target detection; In terms of clutter, Villanova University in the United States combined the characteristics of multipath clutter and adopted a multi-view fusion method to suppress false target interference caused by multipath effects, and realized multipath through the principle of different positions of multipath clutter in different viewing angles. Blind processing of clutter, but multi-view data acquisition is complex, and errors are easily introduced in the actual fusion process, which has a certain impact on the actual target in the image

To sum up, the wall environment interference suppression method based on modeling has limitations, and is greatly affected by environmental factors in actual processing.

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