一种基于加权递推滤波的门限优化检测方法

A Threshold Optimization Detection Algorithm Based on Weighted Recursive Filter

针对多种杂波以及非均匀噪声环境中的目标恒虚警检测,提出了基于加权递推滤波的门限优化检测方法。该算法对参考单元内的样本数据依权重加权递推出滤波门限,自适应地实现门限的动态调整,从而使优化的滤波门限适应环境噪声功率。在均匀杂波和杂波边缘背景下对该算法的检测效应进行仿真分析,仿真结果表明:在两种杂波背景下,相较于传统的检测算法,文中提出的方法具有更好的检测性能和虚警控制性能。

For target constant false alarm rate detection in multi-clutter and non-uniform noisy environment,a threshold optimization detection algorithm based on weighted recursive filter is proposed. The algorithm weighted pass out filter threshold according to weight for sample data in reference unit. the threshold is achieved dynamic adjustment to adapt to the environment noise power. The simulation is held to analyze the algorithm detection performance in the uniform clutter and clutter edge background. The simulation results show that the detection and false alarm control performance of novel method are better compared with traditional detection algorithm under two clutter backgrounds.