Multiple Moving-Target Indication for Urban Sensing Using Change Detection-Based Compressive Sensing

Abstract

Moving-target indication (MTI) has been widely researched in urban sensing. The existing research work mainly concentrates on a single moving target, and there exist difficulties to research multiple moving targets, such as estimating the number of targets and distinguishing the targets that are close to each other. In this letter, based on compressive sensing (CS), we consider the indication of multiple moving targets in through-the-wall radar imaging (TWRI). Using the method of change detection, stationary targets and clutter are removed. Then, according to the reasonable state of motion, we delete the ghost points and combine the tracing points of each moving target. Comparison with the existing CS-based MTI method shows that with the proposed method, ghosts can be suppressed for about 60% at most, which can better estimate the number of moving targets and show the indication of each moving target.