时空自适应处理雷达目标角和多普勒估计的Cramer-Rao边界

Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers Pub Date : 1995-10-30 DOI:10.1109/ACSSC.1995.540889

J. Ward

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引用次数: 64

摘要

时空自适应处理(STAP)能够显著提高机载雷达在干扰(杂波和/或干扰)环境中的性能。本文研究了STAP雷达的目标参数估计问题。讨论了目标角和多普勒的最大似然估计。在任意干扰情况下，导出了目标角和多普勒估计精度的Cramer-Rao边界。这些边界表明，在杂波中，角度精度取决于目标多普勒，反之亦然。它们用于量化由于干扰导致的估计器精度的最佳情况退化，并用于确定可达到指定精度水平的多普勒空间和覆盖扇区的分数。

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Cramer-Rao bounds for target angle and Doppler estimation with space-time adaptive processing radar

Space-time adaptive processing (STAP) can substantially improve airborne radar performance in environments with interference (clutter and/or jamming). This paper considers target parameter estimation with the STAP radar. The maximum-likelihood estimator for target angle and Doppler is reviewed. Cramer-Rao bounds for target angle and Doppler estimation accuracy are derived for an arbitrary interference scenario. These bounds show that in clutter, angle accuracy depends on the target Doppler and vice-versa. They are useful for quantifying the best-case degradation in estimator accuracy due to interference, and for determining the fractions of the Doppler space and coverage sector over which a specified level of accuracy can be achieved.

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Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers

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