严重拖尾杂波中距离扩展目标的自适应极化检测

Adaptive polarimetric detection of range spread targets in heavy-tailed compound-Gaussian clutter

摘要:

为了解决统计特性未知的严重拖尾杂波背景下距离扩展目标的信号检测问题,提出了一种基于广义似然比检验(GLRT)的自适应极化检测器．该检测器利用了雷达回波的极化信息,并使用辅助数据估计杂波的协方差矩阵．推导了其虚警概率表达式,理论分析验证了该检测器对于杂波能量和杂波协方差矩阵具有恒虚警特性．仿真结果表明,该自适应极化检测器在较低信杂比下就可以获得好的检测性能,且相比于点目标自适应极化检测器和单极化自适应检测器,具有更优的检测性能．

Abstract:

The problem of detection for range spread targets is analyzed in complex clutter with unknown statistical characteristics. With polarization information of radar echo and training data available to estimate covariance matrix of clutter, a generalized likelihood ratio test (GLRT) based adaptive polarimetric detector is proposed. Then, the analytic expression of false alarm probability is derived to prove constant with respect to the clutter energy and clutter covariance matrix in theory. The simulation results show that the adaptive polarmetric detector achieves good detect probability even at a low target to clutter ratio, and has better detection performance than the adaptive polarimetric detector of point target and the adaptive detector using single polarization.