Detection of Moving Targets Using Off-Grid Compressed Sensing

Ludger Prunte
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Abstract

Detection of moving targets using $M_{P} \approx 100$ pulses from an airborne radar with multiple receive channels is a crucial point of Earth surveillance. Compressed sensing (CS) has been proven to be applicable to this problem in several publications. Nevertheless, the position of scatterers and the computational grid points for CS differ in general regardless of the scatterers’ motion. Hence, we introduce in this paper a method for moving target detection using off-grid CS by reconstructing angle-Doppler diagrams.
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基于离网压缩感知的运动目标检测
利用具有多个接收信道的机载雷达产生的约100个脉冲探测移动目标是地球监视的一个关键问题。压缩感知(CS)已经在一些出版物中被证明适用于这个问题。然而,无论散射体的运动如何,CS的散射体位置和计算网格点通常是不同的。因此,本文提出了一种利用离网CS重构角多普勒图的方法来检测运动目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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