Techniques for higher order analysis of radar clutter and their application to L-band live data

E. Conte, A. De Maio, A. Farina
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Abstract

We design two statistical tests to ascertain whether radar data comply with the hypotheses of multivariate Gaussianity and covariance persymmetry. For the first issue, we develop a statistical procedure based on quadratic distributional distances, which exploits the representation of Gaussian vectors in generalized spherical coordinates. Moreover, in order to analyze the persymmetry property of the disturbance covariance matrix, we design a testing procedure based on the generalized likelihood ratio test. We thus apply the new tests to L-band experimentally measured clutter data, collected by the MIT Lincoln Laboratory phase one radar, at the Katahdin Hill site.
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雷达杂波高阶分析技术及其在l波段实时数据中的应用
我们设计了两个统计检验来确定雷达数据是否符合多元高斯性和协方差超对称性的假设。对于第一个问题,我们开发了一个基于二次分布距离的统计过程,它利用高斯向量在广义球坐标中的表示。此外,为了分析扰动协方差矩阵的超对称性,我们设计了一个基于广义似然比检验的检验程序。因此,我们将新的测试应用于l波段实验测量的杂波数据,这些数据是由麻省理工学院林肯实验室在Katahdin Hill站点的第一阶段雷达收集的。
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