首页 | 本学科首页   官方微博 | 高级检索  
     

一种基于实数域特征值分解的前后向平滑算法
引用本文:张陆游,张永顺,徐加汉. 一种基于实数域特征值分解的前后向平滑算法[J]. 上海航天, 2010, 27(4): 6-9
作者姓名:张陆游  张永顺  徐加汉
作者单位:1. 空军工程大学导弹学院,陕西,三原,713800;中国人民解放军94994部队,江苏,南京,210036
2. 空军工程大学导弹学院,陕西,三原,713800
3. 中国人民解放军94994部队,江苏,南京,210036
摘    要:为减小算法的运算量,对常规前后向空间平滑(FBSS)算法进行改进,提出了一种基于实数域特征值分解的前后向平滑(RDFBSS)算法。算法根据前后向平滑算法协方差矩阵的中心-厄米特对称特点,通过实值化变换,使FBSS算法的特征值分解从复数域转为实数域,大幅减少了算法的运算量,且不影响解相干和统计性能,提高了实用性。仿真结果证实了算法的有效性。

关 键 词:波达方向  相干  实数域特征值分解  前后向空间平滑

A Real Eigen-Value Decomposition FBSS Algorithm
ZHANG Lu-you,ZHANG Yong-shun,XU Jia-han. A Real Eigen-Value Decomposition FBSS Algorithm[J]. Aerospace Shanghai, 2010, 27(4): 6-9
Authors:ZHANG Lu-you  ZHANG Yong-shun  XU Jia-han
Affiliation:1. The Missile Institute of Air Force Engineering University, Sanyuan Shaanxi 713800, China; 2. The Unit 94994 of CPLA, Nanjing Jiangsu 210036, China)
Abstract:To improve the computation efficiency of direction of angle (DOA) estimation algorithm, a modified foreword backward space smooth (FBSS) algorithm which was called real eigen-value decomposition FBSS (RDFBSS) algorithm was put forward in this paper. According to the centro-Hermitian structure of FBSS correlation matrix, this algorithm made the FBSS eigen-value decomposition in real through the real operation on the data covariance matrix, which would reduce the FBSS algorithm computation, and the de-correlation performance and statistic performance was not affected by the real eigen-value decomposition, and the real-time capability was improved. The simulation results showed that this algorithm was effective.
Keywords:Direction of angle  Coherent  Real eigen-value decomposition  Frontward backward space smooth
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号