基于瞬态极化统计量的微弱信号检测及优化算法设计

A Novel Detection Algorithm of Dim Signal Based on Instantaneous Polarization

针对窄带极化雷达系统,首先给出了极化聚类中心的统计分布函数,构造了GLRT检测似然比,据此提出了特征极化基下的微弱信号检测算法,同时计算出CFAR检测概率的解析表达式.然后通过极化基变换的方法证明了所选极化检验统计量分布具有极化不变性质,解决了一般极化基下的微弱信号检测问题,并给出了此种检测方案的优化算法.最后,我们通过仿真分析了此种检测算法的性能,结果说明低信噪比下新算法可以很大地改善雷达系统的检测性能,对于反隐身、预警和空间探测等领域有着重要的指导意义.

The detection problem of dim signal is studied based on narrowband dual- polarization radar system. Firstly the probability deusity functions of different signals and a novel detection algorithm are presented through polarization and power accumulation in time . We also derive the analytical expression for the probability of false alarm and show that the new receiver can be made bounded constant false alarm rate （CFAR）. Then a solution is showed through proving the same distributions between different coordinates of the statistics by which the radar detection performance can be simplified. Finally, we present simulation results, which show the radar detection performance can be obviously improved. It can be useful to anti - radar stealthy, early warning and space detection or other applications.