相干杂波中雷达目标的极化检测

Polarimetric Detection of Radar Target in Coherent Clutter

首先介绍了高斯分布杂波背景下全极化相参雷达的极化域-时域联合目标检测算法,然后就两种实际目标,结合蒙特卡洛方法,分析了雷达目标的检测性能。重点研究了杂波的时间相关性对检测性能的影响,给出了不同相干杂波背景下的目标检测性能曲线,得到了杂波的时间相关性与目标检测性能之间的关系曲线。在此基础上讨论了在不同时间相关性杂波背景下时域采样的增加对检测性能的影响。最后介绍了K分布杂波背景下的极化域-时域联合目标检测算法,给出了检测性能曲线。

The paper introduces firstly the theory of full-polarimetric coherent radar＇s polarization-time target detection on the background of Gaussian clutter, then gives some detection performance curves gained by computer simulation for two real targets. The paper studies the effect of the clutter＇s coherent coefficient on the detection performance, gives some curves in different coherent clutter background, draws some conclusions different with conditional linear or square target detection, and gives the reason. Further, the paper discusses the influence of increasing the time samples on the detection performance under different coherent clutter background. At last, this paper introduces polarization-time target detection algorithm on the background of K-distributed clutter and gives some detection performance curves.