首页 | 本学科首页   官方微博 | 高级检索  
     

FOC-MUSIC与MUSIC算法的稳健性对比分析
引用本文:李廷伟,朱炬波,叶钒.FOC-MUSIC与MUSIC算法的稳健性对比分析[J].雷达科学与技术,2006,4(1):46-49.
作者姓名:李廷伟  朱炬波  叶钒
作者单位:国防科技大学理学院,湖南长沙,410073
摘    要:分析比较了阵元存在误差时基于四阶累积量的MUSIC方法(FOC-MUSIC)和基于协方差的MUSIC方法对波迭方向的估计性能,给出了大样本情况下估计误差方差的统一公式,基于这个公式从理论上分析了前一种方法的稳健性优于后一种的原因。仿真结果表明;文中提出的理论比较结果与实际仿真结果吻合,在存在幅相误差的情况下,FOC-MUSIC算法的稳健性确实优于基于协方差的MUSIC算法。

关 键 词:波达方向估计  四阶累积量  稳健性  阵列信号处理  阵元误差校准
文章编号:1672-2337(2006)01-0046-04
收稿时间:2005-04-16
修稿时间:2005-06-20

Robustness Comparison of the Forth-Order Cumulant-Based MUSIC Algorithm and Covariance-Based MUSIC Algorithm in Presence of Sensor Errors
LI Ting-wei,ZHU Ju-bo,YE Fan.Robustness Comparison of the Forth-Order Cumulant-Based MUSIC Algorithm and Covariance-Based MUSIC Algorithm in Presence of Sensor Errors[J].Radar Science and Technology,2006,4(1):46-49.
Authors:LI Ting-wei  ZHU Ju-bo  YE Fan
Abstract:In this paper,we analyse and compare the performances of estimation of direction-of-arrival(DOA) obtained using fourth-order-cumulant and covariance MUSIC methods in the presence of sensor errors.Under the condition of great samples,we provide a variance of the estimation errors,which has the same form for the two different methods.Based on this variance,we analyse why the FOC-MUSIC method are robuster than covariance-based MUSIC method. The computer simulations demonstrate that the conclusion is correct.
Keywords:estimation of DOA  forth-order-cumulant  robustness  array signal processing  array errors calibration
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《雷达科学与技术》浏览原始摘要信息
点击此处可从《雷达科学与技术》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