非高斯杂波条件下雷达性能蒙特卡罗评估中重要采样的有效阈值确定

Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322) Pub Date : 2002-08-07 DOI:10.1109/NRC.2002.999731

D. L. Stadelman, D. Weiner, A. D. Keckler

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引用次数: 7

摘要

提出了一种有效的重要采样仿真方法，用于估计雷达接收机在非高斯、球不变随机向量的杂波中实现极低虚警概率的阈值。对于已知和未知杂波协方差矩阵情况，仅用10,000次试验估计虚警概率为10/sup -6/或更低的阈值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Efficient determination of thresholds via importance sampling for Monte Carlo evaluation of radar performance in non-Gaussian clutter

An efficient importance sampling simulation method is presented for estimating the thresholds to achieve very low probabilities of false alarm for radar receivers in clutter modeled as a non-Gaussian, spherically invariant random vector. Thresholds at false alarm probabilities of 10/sup -6/ and lower are estimated with only 10,000 trials for both known and unknown clutter covariance matrix cases.

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Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322)

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