首页 | 本学科首页   官方微博 | 高级检索  
     

MIMO雷达约束总体最小二乘改进算法
引用本文:曲毅,廖桂生,李军,姜晖. MIMO雷达约束总体最小二乘改进算法[J]. 系统工程与电子技术, 2009, 31(2): 319-322
作者姓名:曲毅  廖桂生  李军  姜晖
作者单位:1. 西安电子科技大学雷达信号处理重点实验室, 陕西, 西安, 710071;2. 武警工程学院通信工程系, 陕西, 西安, 710086
基金项目:教育部重点科研项目,国家部委预研重点基金 
摘    要:针对多输入多输出MIMO雷达目标定位系统中基于最小二乘算法的AOA定位精度低的缺点,分析出造成这一缺点的原因是系数矩阵存在误差.进而利用系数矩阵误差存在相关性的特点,提出用约束总体最小二乘法进行目标定位,推导了定位均方误差公式.计算机仿真证明该方法比普通最小二乘法具有更好的定位性能.

关 键 词:MIMO雷达  约束总体最小二乘  定位
收稿时间:2007-09-19
修稿时间:2008-03-19

Constrictive total least square improved algorithm in MIMO radars
QU Yi,LIAO Gui-sheng,LI Jun,JIANG Hui. Constrictive total least square improved algorithm in MIMO radars[J]. System Engineering and Electronics, 2009, 31(2): 319-322
Authors:QU Yi  LIAO Gui-sheng  LI Jun  JIANG Hui
Affiliation:1. Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China;2. Dept. of Communication, Engineering Inst. of the Armed Police, Xi'an 710086, China
Abstract:In MIMO(multi-input multi-output) radars,the precision of AOA(angle of arrival) position location through the least square algorithm is low.An analysis of this shortcoming is given.The analysis shows that the bad performance results from the fact that the coefficient matrix has errors.And a method based on the constrictive total least square algorithm,which exploits the correlation among coefficient matrix errors,is proposed.The mean-squareerror(MSE) of the estimated position based on this method is analyzed.Simulation results show that the performance of the proposed method is better than the least square one.
Keywords:AOA
本文献已被 万方数据 等数据库收录!
点击此处可从《系统工程与电子技术》浏览原始摘要信息
点击此处可从《系统工程与电子技术》下载全文
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