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本文用两步法研究了在相干、相关、非高斯杂波背景下的检测雷达目标的问题。第一步，导出描述杂波统计特性的幅度的构造及多元概率密度函数（ｐｄｆ）。该结论的起点是基本的散射问题，并从中心极限定理（ＣＬＴ）的外延得到统计数据。该外延导致用Ｒａｙｌｅｉｇｈ分布的混合来设计杂波幅度统计特性。第一步的最后结果是以高斯混合形式的多维概率密度函数（ｐｄｆ），该函数将在步骤二中使用。步骤二的目的是求出在该杂波型式中检测雷达目标最佳和次最佳检测的两种构造。也给出了这种新检测处理器的一些性能结果。
In this paper, the problem of detecting radar targets in the background of coherent, correlated and non-Gaussian clutter is studied by two-step method. The first step is to derive the structure and multivariate probability density functions (pdf) describing the magnitude of the clutter statistics. The starting point of this conclusion is the basic scattering problem, and statistics are derived from the extension of the central limit theorem (CLT). This extension leads to the design of clutter amplitude statistics using a mixture of Rayleigh distributions. The end result of the first step is a multidimensional probability density function (pdf) in the form of Gaussian mixture, which will be used in step two. The purpose of the second step is to find two configurations for detecting the best and second best detection of the radar target in this clutter pattern. Some performance results from this new test processor are also given.