This paper proposes a decision scheme based on the $k$ -nearest neighbors rule to detect coherent signals in non-Gaussian noise modeled as the sum of K-distributed clutter plus thermal noise. The analysis is conducted also on real data recordings and shows that the proposed detector can outperform natural competitors.

中文翻译：

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基于KNN的非高斯噪声相干目标雷达探测器

本文提出了一种基于决策的决策方案。 $ k $ 最近邻法则用来检测非高斯噪声中的相干信号，该噪声建模为K分布的杂波加热噪声之和。对真实数据记录也进行了分析，结果表明所提出的检测器可以胜过自然竞争者。