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Evaluation of the normalized parametric adaptive matched filter STAP test in airborne radar clutter

机译:机载雷达杂波中归一化参数自适应匹配滤波器STAP测试的评估

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摘要

The performance of a recently proposed parametric space-time adaptive processing (STAP) detection method is considered here and compared with several candidate algorithms. Specifically, we consider signal detection in additive disturbance consisting of compound-Gaussian clutter plus Gaussian thermal white noise. Consideration is given to both detection and constant false alarm rate (CFAR) robustness with respect to clutter texture power variations. Finally, the performance of the new test is assessed using small training data support size.
机译:本文考虑了最近提出的参数空时自适应处理(STAP)检测方法的性能,并将其与几种候选算法进行了比较。具体而言,我们考虑了由复合高斯杂波加高斯热白噪声组成的加性扰动中的信号检测。对于杂波纹理功率变化,要同时考虑检测和恒定的误报率(CFAR)鲁棒性。最后,使用较小的培训数据支持量来评估新测试的性能。

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