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Space-time adaptive processing for range-folded spread-Doppler radar clutter mitigation

机译:时空自适应处理的距离扩展扩展多普勒雷达杂波缓解

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This paper concerns the detection of radar targets masked by Doppler-spread surface backscatter from points beyond the radar''s maximum unambiguous range. Current methods for mitigating this so-called “range-folded” clutter, such as reducing the pulse-repetition frequency or the use of nonrecurrent waveforms, typically involve some loss in the useable Doppler space fraction available for target detection. This paper uses blind source separation methods to exploit the known Doppler separation afforded by non-recurrent waveforms in order to estimate the spatial wavefront of the clutter across a linear receive array. Spatial adaptive processing using this estimated wavefront is then used to suppress range-folded clutter without sacrificing usable Doppler space. Simulation results are presented which quantify performance in terms of SCNR gain achieved.
机译:本文涉及从超过雷达最大明确范围的点检测被多普勒扩展表面后向散射掩盖的雷达目标。减轻这种所谓的“范围折叠”杂波的当前方法,例如降低脉冲重复频率或使用非递归波形,通常会涉及可用于目标检测的可用多普勒空间分数的损失。本文使用盲源分离方法来利用由非循环波形提供的已知多普勒分离,以估计线性接收阵列上杂波的空间波前。然后,使用此估计的波前进行空间自适应处理,以在不牺牲可用多普勒空间的情况下抑制距离折叠的杂波。给出了仿真结果,根据获得的SCNR增益量化了性能。

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