Mitigation of saturation in adaptive clutter cancellation

A. Farina, R. Petrucci, C. Hao, K. Shi, D. Orlando
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Abstract

This paper describes the problem of finding an optimum radar signal processor by taking into account the limited dynamic range of the receiver. The nonlinearities, the phase noise and other limitations effects of radar receivers have been extensively studied in the open literature. However, to the best of authors' knowledge, the above studies do not adequately cover the topic of finding the optimum radar signal processor in the presence of the receiver nonlinearity. In this paper we start to devise a method that mitigates the nonlinearity effects in designing the optimum target detector in the presence of noise-like interference and receiver noise. To this end, we present the calculation of the likelihood ratio (LR) in the presence of the nonlinearity and address the solution of the calculation of the probability density function (pdf) of this LR by exploiting suitable mathematical results in a simple study case.
自适应杂波消除中饱和度的降低
本文讨论了在考虑接收机动态范围限制的情况下,寻找最佳雷达信号处理器的问题。雷达接收机的非线性、相位噪声和其他限制效应在公开文献中得到了广泛的研究。然而,据作者所知,上述研究并没有充分涵盖在存在接收机非线性的情况下寻找最佳雷达信号处理器的主题。本文开始设计一种在类噪声干扰和接收机噪声存在的情况下设计最佳目标检测器的方法,以减轻非线性效应。为此,我们提出了非线性存在下的似然比(LR)的计算方法,并通过一个简单的研究案例,利用适当的数学结果解决了该LR的概率密度函数(pdf)的计算问题。
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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