Journal of Systems Engineering and Electronics ›› 2010, Vol. 32 ›› Issue (12): 2537-2540.doi: 10.3969/j.issn.1001-506X.2010.12.10

• 传感器与信号处理 • 上一篇    下一篇

基于单通道合成孔径雷达子图像的动目标检测性能分析

刘书君1,冉强军1,袁运能2,毛士艺2   

  1. 1. 重庆大学通信工程学院, 重庆 400044;
    2. 北京航空航天大学电子工程学院, 北京 100191
  • 出版日期:2010-12-18 发布日期:2010-01-03

Performance analysis of the moving target detection based on single-channel synthetic aperture radar sub-image

LIU Shu-jun1,RAN Qiang-jun1,YUAN Yun-neng2,MAO Shi-yi2   

  1. 1. Coll. of Communication Engineering, Chongqing Univ., Chongqing 400044, China; 
    2. School of Electronic Engineering, Beijing Univ. of Aeronautics and Astronautics, Beijing 100191, China
  • Online:2010-12-18 Published:2010-01-03

摘要:

详细分析了基于单通道子图像的运动目标检测性能,给出了图像序列间协方差矩阵分解后特征值与运动目标速度间的关系。首先通过方位向的频谱划分获得单通道子孔径对应的子图像,再利用子孔径间协方差矩阵第二特征值对目标信号的敏感性实现运动目标的检测。详细推导了特征值与运动目标距离向速度的关系,并通过理论分析给出了协方差矩阵第二特征值的概率密度函数。最后,经过仿真实验给出了该方法的仿真结果与性能曲线。

Abstract:

The method of moving target detection based on eigen-decomposition of the covariance matrix is proposed for single-antenna airborne synthetic aperture radar (SAR) and the relationship between the eigen-decomposition and the moving target’s range velocity is analyzed. First the paper points out that the sub-image is obtained through frequency processing. Then the sensitivity of the moving target that is represented by the second eigenvalue of the covariance matrix is used to indicate the moving target. The relationship between the second eigenvalue and the moving target’s range velocity is presented. Through the theoretical deducing, the probability density function of the second eigenvalue of the covariance matrix is presented. Simulation results demonstrate that the method is effective.