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文献[1,2]研究了独立的Rayleigh分布和均匀分布随机变量经DFT后频谱的统计分布。本文探讨了经对消处理后杂波频谱的统计分布。随着对雷达精度要求的提高,人们日益重视对非Rayleigh杂波的研究;Weibull杂波就是其中的一类,它能在较广的范围内精确地描述实际杂波的幅度分布。适当改变Weibull分布的形状参数p,可使之逼近于Rayleigh分布(当p=2的Weibull分布)或对数-正态分布。本文用Monte Carlo法研究了Weibull杂波经DFT后谱线统计分布的求解。
In [1,2], the statistical distribution of independent Rayleigh and uniformly distributed random variables after DFT is studied. This article explores the statistical distribution of the clutter spectrum after cancellation. With the increasing requirements on the accuracy of radar, people pay more and more attention to the research of non-Rayleigh clutter. Weibull clutter is one of them. It can accurately describe the amplitude distribution of the actual clutter in a wide range. Properly changing the shape parameter p of the Weibull distribution approximates the Rayleigh distribution (when the Weibull distribution is p = 2) or log-normal distribution. In this paper, Monte Carlo method is used to study the statistical distribution of Weibull clutter after DFT.