Interaction Multipath in Through-the-Wall Radar Imaging Based on Compressive Sensing.

Yigeng Ma,Hong Hong,Xiaohua Zhu

doi:10.3390/s18020549

Yigeng Ma, Hong Hong + Show 1 more

Open Access

https://doi.org/10.3390/s18020549

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Abstract

Clutters caused by multipath have been widely researched in through-the-wall radar imaging (TWRI). The existing research work of multipath only consider reflections from the wall, while in the condition of a small scene, with the increasing number of targets, multipath from targets to targets, named interaction multipath, usually generates ghosts, which degrades the performance of TWRI. In order to mitigate the effect of interaction multipath, considering fast data acquisition and measurement reduction, we made use of the propagation characteristic of interaction multipath to build the sparse model of the target scene and developed a compressive sensing (CS)-based method, which is referred to as ‘interaction CS’. For the number of point targets increasing from 5–8, intensive evaluation and direct comparison of the imaging results with existing methods are conducted to show that the proposed interaction CS performs better at ghost suppression in the same condition of the signal-to-noise ratio (SNR).

Highlights

Due to the potential of revealing targets behind an opaque obstacle, the technology of through-the-wall radar imaging (TWRI) has attracted much interest for public safety and defense applications [1,2,3,4,5,6]
We deal with the clutter of interaction multipath and have improved the model of the small scene with multiple targets
We modeled this type of multipath in the over-complete dictionary of the target scene and developed the interaction compressive sensing (CS) method to image the location of targets

Summary

Introduction

Due to the potential of revealing targets behind an opaque obstacle, the technology of through-the-wall radar imaging (TWRI) has attracted much interest for public safety and defense applications [1,2,3,4,5,6]. Existing research of TWRI aims at improving the quality of radar images. In the theory of TWRI, the interference of clutters is known to be a great challenge for improving the quality of the radar image. As one kind of clutter, the strong reflections of the front wall lead to missed detections of targets behind the wall. The multiple reflections within the wall result in wall residuals along the range dimension. Another kind of clutter is the multipath caused by multiple reflections off the targets in conjunction with the walls. High-resolution imaging demands large aperture and bandwidth; a large amount of data needs to be acquired, stored and processed

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Results

Conclusion