Robust Algorithm for Signal Digital Detection on the Background of Non-Gaussian Passive Interferences

F. Yanovsky, I. Prokopenko, A. Pitertsev, Huinam Rhee, Anastasiia Dmytruk
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Abstract

This paper proposes generalized mathematical model of different passive interferences and develops an effective algorithm of digital signal processing for detection on the background of them. Models of interferences as random process of K-distribution is used with parametrization for the unwanted reflections from atmosphere, land, and sea. Robust algorithm for signal detection on the background of such interferences, in particular in case of non-gaussian distribution, is developed. Its effectiveness is researched and confirmed.
非高斯无源干扰背景下信号数字检测的鲁棒算法
本文提出了各种无源干扰的广义数学模型,并开发了一种有效的数字信号处理算法,用于在无源干扰的背景下进行检测。对来自大气、陆地和海洋的不需要反射,采用k分布随机过程的干扰模型进行参数化处理。提出了在这种干扰背景下,特别是在非高斯分布情况下的鲁棒信号检测算法。研究并证实了其有效性。
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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