Journal of Systems Engineering and Electronics ›› 2012, Vol. 34 ›› Issue (1): 75-79.doi: 10.3969/j.issn.1001-506X.2012.01.14

• 传感器与信号处理 • 上一篇    下一篇

两坐标雷达融合定位算法

张华睿1, 杨宏文1, 郁文贤2   

  1. 1. 国防科学技术大学ATR重点实验室, 湖南 长沙 410073;
    2. 上海交通大学电子信息与电气工程学院, 上海 200030
  • 出版日期:2012-01-13 发布日期:2010-01-03

Estimation of target position in 2D radar based on data fusion

ZHANG Huarui1, YANG Hongwen1, YU Wenxian2   

  1. 1. ATR Key Lab, National University of Defense Technology, Changsha 410073, China;
    2. School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200030, China
  • Online:2012-01-13 Published:2010-01-03

摘要:

传统的两坐标雷达目标定位算法需通过迭代求取目标位置估计,不仅计算量大,而且有可能得到局部最优解,甚至无效解。提出了一种组网融合定位算法,利用数据融合技术进行目标定位,回避了费时的迭代搜索,同时保证了估值的有效性。仿真实验验证了该方法的有效性。

Abstract:

The traditional estimation method of target position in 2D radar network is involved of iterative procedure, which makes it time consuming, and the estimation value may be local optimal or even invalid. Based on data fusion theory, a novel method is proposed. It avoids iterative procedure and guarantees a valid estimation value. Simulation results show the effectiveness of the new method.