天基雷达自适应波束域处理

Y. Zhang, A. Hajjari, L. Adzima, B. Himed
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引用次数: 4

摘要

本文讨论了低地球轨道天基雷达的波束域空时自适应处理算法。首先考察了基于子阵列的联合域定位(JDL)算法在不同处理器参数下的性能。然后,提出了一种结合JDL和差分(/spl Delta/)波束的组合波束域STAP算法。结果表明,组合的JDL-/spl Delta/算法提供了更少的系统复杂性,并且产生了与使用更高自由度的JDL相似的性能。地球自转对平台产生蟹形角,使杂波距离-多普勒频谱随距离变化。实例表明,这种夹角严重降低了STAP系统的信噪比(SINR),从而降低了STAP系统的最小可探测速度(MDV)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive beam-domain processing for space-based radars
This paper discusses beam-domain space-time adaptive processing (STAP) algorithms for a low-Earth-orbit (LEO) space-based radar (SBR). The performance of the subarray-based joint-domain-localized (JDL) algorithm is first examined for various processor parameters. Then, a combined beam-domain STAP algorithm approach that combines JDL with difference (/spl Delta/) beams is presented. It is shown that the combined JDL-/spl Delta/ algorithms offer less system complexity and yield performance similar to that of JDL that uses higher degrees of freedom. It is also shown that the Earth's rotation induces a crab angle to the platform, which makes the clutter range-Doppler spectrum vary with range. Illustrative examples show that this crab angle severely degrades the signal-to-interference-plus-noise ratio (SINR), thereby reducing the minimum detectable velocity (MDV) of STAP systems.
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