Abstract

Efficient and precise calculation of the probability of false alarms for the K-distributed sea clutter and noise is crucial in radar detection system. We propose efficient and optimal importance sampling algorithms, in which two importance sampling estimators are constructed for both the product form and the compound form of the underlying K distribution. Moreover, we prove the existence and uniqueness of the optimal tilting parameters. Detection accuracy and efficiency are analyzed in simulation studies.

中文翻译：

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模拟K分布海杂波中的误报概率

摘要

高效、精确地计算K分布海杂波和噪声的误报概率是雷达探测系统的关键。我们提出了有效和最优的重要性采样算法，其中为底层K分布的乘积形式和复合形式构建了两个重要性抽样估计器。此外，我们证明了最优倾斜参数的存在性和唯一性。在模拟研究中分析检测精度和效率。