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Usage of non-Gaussian statistics for RF signals detection by complex energy and fractal detector

机译:非高斯统计量在复数能量和分形检测器检测RF信号中的用途

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The article deals with the problem of objects detection by its radar data, obtained from synthesized aperture radar (SAR). This method is based on fractal properties of the data. It is shown, that algorithm of fractal dimension estimation by the method of maximum likelihood is sufficient statistic. Fractal detector of RF signals is synthesized; analysis with Gaussian approximation of correlation dimension estimation is made as non-Gaussian as well. Comparative analysis of detection characteristics for various statistic distributions is done; field of applicability of Gaussian approximation is defined. Complex energy-fractal detector is synthesized, its analysis is made and expressions for detection characteristics are got.
机译:本文讨论了从合成孔径雷达(SAR)获得的雷达数据进行目标检测的问题。此方法基于数​​据的分形特性。结果表明,采用最大似然法进行分形维数估计是足够的统计量。合成了射频信号的分形检测器;相关维数估计的高斯近似分析也是非高斯的。对各种统计分布的检测特征进行了比较分析;定义了高斯近似的适用范围。合成了复杂的能量分形检测器,对其进行了分析,得出了检测特性的表达式。

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