Space-Doppler processing for multichannel ISAR imaging of non-cooperative targets embedded in strong clutter

A. Bacci, D. Gray, M. Martorella, F. Berizzi
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引用次数: 7

Abstract

Non-cooperative moving targets appear defocussed in SAR images and the blurring effect due to the unknown motion leads to low detection capabilities. In this work, clutter suppression and ISAR processing are combined to obtain well focused images of extended non-cooperative moving targets embedded in strong clutter, by exploiting Multichannel SAR (M-SAR) systems. Clutter mitigation and radar motion compensation are performed by means of the proposed Space Doppler Adaptive Processing. Then ISAR processing is used to compensate the unknown target motion. Two principal issues will be addressed. First, a technique to apply ISAR processing after clutter mitigation is presented, and then a suboptimal approach for clutter mitigation is proposed to overcome computational and statistical issues associated with estimation of clutter cross-power spectral matrix. Results of the processing applied to simulated data are provided in order to show the effectiveness of the proposed techniques.
强杂波条件下非合作目标多通道ISAR成像的空间多普勒处理
非合作运动目标在SAR图像中出现散焦现象,由于运动未知而产生的模糊效应导致检测能力低下。本文利用多通道SAR (M-SAR)系统,将杂波抑制和ISAR处理相结合,获得嵌入在强杂波中的扩展非合作运动目标的良好聚焦图像。利用所提出的空间多普勒自适应处理实现了杂波抑制和雷达运动补偿。然后利用ISAR处理对未知目标运动进行补偿。会议将讨论两个主要问题。首先,提出了一种在杂波抑制后应用ISAR处理的技术,然后提出了一种次优的杂波抑制方法,以克服与杂波交叉功率谱矩阵估计相关的计算和统计问题。最后给出了应用于模拟数据的处理结果,以证明所提技术的有效性。
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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