Journal of Systems Engineering and Electronics ›› 2012, Vol. 34 ›› Issue (2): 287-291.doi: 10.3969/j.issn.1001-506X.2012.02.13

• 传感器与信号处理 • 上一篇    下一篇

基于SG-Alpha稳定分布模型的雷达目标Rao检测方法

冯讯, 王首勇, 朱晓波   

  1. 空军雷达学院军队重点实验室, 湖北 武汉 430019
  • 出版日期:2012-02-15 发布日期:2010-01-03

Rao statistical test for radar targets based on SG-Alpha stable distribution

FENG Xun, WANG Shouyong, ZHU Xiaobo   

  1. Military Key Lab, Wuhan Radar Institute, Wuhan 430019, China
  • Online:2012-02-15 Published:2010-01-03

摘要:

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。

Abstract:

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.