复合高斯杂波中距离分布目标的极化自适应检测

极化高分辨力雷达能够获取更丰富的目标特征信息,充分利用极化信息能够有效地提高检测和识别性能.本文基于广义似然比检验,提出了一种复合高斯杂波中距离分布目标的极化自适应检测器,推导了检测器的虚警概率表达式,理论分析表明其相对于杂波的协方差矩阵和纹理分量都具有恒虚警特性.利用仿真数据统计分析了该检测器的检测性能,仿真结果表明,在一般情况下当辅助数据较少时该检测器的检测性能优于其它同类检测器.

Polarimetric Adaptive Detection for Range-Distributed Targets in Compound-Gaussian Clutter

The high-resolution polarimetric radars are able to obtain more information of target characteristics than conventional ones,and the operation of exploiting the polarization information can improve the performance of detection and identification remarkably.A polarimetric adaptive algorithm based on generalized likelihood ratio test(GLRT) criterion is presented for detecting range-distributed targets in compound-Gaussian clutter and the theoretical expression of the false alarm probability is derived.The proposed detector ensures the theoretically constant false alarm rate(CFAR) property with respect to both the texture statistics and the clutter covariance matrix.Finally,the simulation results based upon simulated clutter data show that this polarimetric adaptive detector achieves in general a better detection performance than its counterparts under the condition of less secondary data.