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首页> 外文期刊>Journal of Applied Remote Sensing >Clutter suppression for multichannel synthetic aperture radar ground moving target indication system with the capability of high-resolution wide-swath imaging
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Clutter suppression for multichannel synthetic aperture radar ground moving target indication system with the capability of high-resolution wide-swath imaging

机译：具有高分辨率宽幅成像能力的多通道合成孔径雷达地面移动目标指示系统的杂波抑制

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摘要

Clutter suppression is a key step for efficient detection of moving targets and accurate estimation of their parameters. Current clutter suppression approaches are available for the case in which clutter signals of each channel are free from Doppler ambiguity. However, for a multichannel high-resolution wide-swath (HRWS) synthetic aperture radar (SAR) system, the received echoes of each channel suffer Doppler ambiguity, thus current clutter suppression approaches may not perform well. To address this issue, the signal models of stationary and moving targets with Doppler ambiguity should be derived. This paper presents their analytical models in the complex image domain by two-dimensional azimuth compression, from which the linear coupling of a moving target induced by radial velocity can be eliminated, and thus signal-to- noise ratio loss caused by this linear coupling can be avoided. Considering that there is a difference between stationary and moving targets in the complex image domain, a clutter suppression approach for a multichannel HRWS SAR system is proposed. The simulated results and real data processing results both validate the proposed approach. (C) 2015 Society of Photo-Optical Instrumentation Engineers (SPIE)
机译：杂波抑制是有效检测运动目标并准确估计其参数的关键步骤。当前的杂波抑制方法可用于每个通道的杂波信号都没有多普勒模糊性的情况。但是，对于多通道高分辨率广域（HRWS）合成孔径雷达（SAR）系统，每个通道的接收回波都具有多普勒模糊性，因此当前的杂波抑制方法可能效果不佳。为了解决这个问题，应该导出具有多普勒模糊度的静止和运动目标的信号模型。本文通过二维方位角压缩在复杂图像域中提出了它们的分析模型，可以消除径向速度引起的运动目标的线性耦合，从而可以消除由线性耦合引起的信噪比损失被避免。考虑到在复杂图像域中静止目标和运动目标之间存在差异，提出了一种多通道HRWS SAR系统的杂波抑制方法。仿真结果和实际数据处理结果均验证了该方法的有效性。 （C）2015年光电仪器工程师协会（SPIE）

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