Journal of Systems Engineering and Electronics ›› 2011, Vol. 33 ›› Issue (5): 1027-.doi: 10.3969/j.issn.1001-506X.2011.05.13

• 传感器与信号处理 • 上一篇    下一篇

基于逆协方差矩阵估计的杂波抑制方法

张柏华1,2, 张永顺1, 王永良2, 谢文冲2   

  1. 1. 空军工程大学导弹学院, 陕西 三原 713800; 2. 空军雷达学院重点实验室, 湖北 武汉 430019
  • 出版日期:2011-05-25 发布日期:2010-01-03

Clutter suppression method based on estimation of inverse covariance matrixes

ZHANG Bai-hua1,2, ZHANG Yong-shun1, WANG Yong-liang2, XIE Wen-chong2   

  1. 1. The Missile Institute, Air Force Engineering University, Sanyuan 713800, China;
    2. Key Laboratory, Radar Academy of Air Force, Wuhan 430019, China
  • Online:2011-05-25 Published:2010-01-03

摘要:

分析了机载双基地雷达杂波分布的特点,并基于杂波逆协方差矩阵的特性提出了基于逆协方差矩阵估计的机载双基地雷达杂波抑制方法。首先利用常规方法估计得到邻近距离门的协方差矩阵;然后利用邻近距离门的逆协方差矩阵对待检测距离门的逆协方差矩阵进行估计;最后通过传统的空时自适应处理方法完成对杂波的有效抑制。仿真结果表明该方法可明显改善机载双基地雷达的杂波抑制性能。

Abstract:

The characteristics of clutter nonhomogeneity are analyzed for airborne bistatic radar, and a novel clutter suppression method, i.e. the estimation of the inverse covariance matrix (EICM), is proposed based on the characteristics of clutter inverse covariance matrixes. The clutter covariance matrix of neighboring ranges is gained by using conventional methods firstly, then the inverse covariance matrix of the test range gate is estimated based on the inverse covariance matrix of neighboring ranges. Finally, clutter suppression is completed effectively via the conventional spacetime adaptive processing method. The simulation results show that performance of clutter suppression for airborne bistatic radar can be improved greatly using the proposed method.