基于SG-Alpha稳定分布模型的雷达目标Rao检测方法

摘要

In relative non-Gaussian clutter backgrounds, one of the difficulties on radar target detection is to establish a likelihood ratio test model. Based on the SG-Alpha(subGaussian-Alpha)stable distribution model, a Rao statistical test method on radar targets is established. This method is applicable to detect moving targets in normal relative non-Gaussian clutter, and it can be implemented easily. Simulations and real data results show that the novel method is obviously superior to traditional methods in relative non-Gaussian clutter.%非高斯相关杂波背景下的目标检测具有重要的实际意义,但在该背景下建立似然比检测模型非常困难.以SG-Alpha (subGaussian-Alpha)稳定分布作为非高斯相关杂波分布模型,导出了雷达目标的Rao检测模型.该模型适应于一般非高斯相关杂波下的目标检测,且易于实现.仿真及实测数据验证表明,在非高斯相关杂波条件下本文提出的方法明显优于传统的检测方法.