雷达多视极化检测器性能对比分析
发布时间：2018-07-13 17:12
【摘要】：雷达极化检测器性能对比分析可为极化检测器的工程设计提供重要参考,但目前针对其检测性能的评估理论仍不完善,尤其缺乏多视情形下的分析结果.文章以极化雷达多视协方差矩阵的复Wishart分布为基础,采用蒙特卡洛仿真与理论推导得到了7种经典极化检测器的多视检测性能曲线,并构建曲线下面积(Area Under Curve,AUC)指标对检测性能进行自动排序.仿真实验结果表明4视处理时的检测性能排序为:最优极化检测器极化白化滤波器≈似然比检验最佳能量检测器极化匹配滤波器≈多视极化能量检测器单通道检测器.理论推导结果表明,具有线性加权形式的极化检测器,其检测与虚警概率都具有两类等价的数学表达式,其中基于Gamma函数的表达式可用于快速计算出恒虚警检测门限.最后采用全极化合成孔径雷达实测数据,对上述结论进行了验证.
[Abstract]:The performance comparison and analysis of radar polarimetric detector can provide an important reference for the engineering design of polarization detector, but the evaluation theory of its detection performance is still imperfect, especially the analysis results under multi-view condition. Based on the complex Wishart distribution of multi-view covariance matrix of polarimetric radar, the multi-view detection performance curves of seven classical polarimetric detectors are obtained by Monte Carlo simulation and theoretical derivation. And the Area under area (AUC) index is constructed to automatically sort the detection performance. The simulation results show that the order of detection performance is as follows: the best polarimetric detector polarization whitening filter 鈮，
本文编号：2120134
[Abstract]:The performance comparison and analysis of radar polarimetric detector can provide an important reference for the engineering design of polarization detector, but the evaluation theory of its detection performance is still imperfect, especially the analysis results under multi-view condition. Based on the complex Wishart distribution of multi-view covariance matrix of polarimetric radar, the multi-view detection performance curves of seven classical polarimetric detectors are obtained by Monte Carlo simulation and theoretical derivation. And the Area under area (AUC) index is constructed to automatically sort the detection performance. The simulation results show that the order of detection performance is as follows: the best polarimetric detector polarization whitening filter 鈮，
本文编号：2120134
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