[1]胡茂兵,汤炜,蔡灿辉.一种新的子空间更新算法在DOA估计中的应用[J].华侨大学学报(自然科学版),2012,33(4):375-379.[doi:10.11830/ISSN.1000-5013.2012.04.0375]
　HU Mao-bing,TANG Wei,CAI Can-hui.Application of a New Subspace Updating Algorithm in DOA Estimation[J].Journal of Huaqiao University(Natural Science),2012,33(4):375-379.[doi:10.11830/ISSN.1000-5013.2012.04.0375]
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一种新的子空间更新算法在DOA估计中的应用()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第33卷
期数:
2012年第4期
页码:
375-379
栏目:
出版日期:
2012-07-20

文章信息/Info

Title:
Application of a New Subspace Updating Algorithm in DOA Estimation
文章编号:
1000-5013(2012)04-0375-05
作者:
胡茂兵;  汤炜;  蔡灿辉
华侨大学 信息科学与工程学院, 福建 厦门 361021
Author(s):
HU Mao-bing;  TANG Wei;  CAI Can-hui
College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China
关键词:
波达方向;  突变信号;  可变遗忘因子;  子空间更新算法;  特征分解
Keywords:
arrival direction;  sudden parameter changing signals;  variable forgetting factor;  subspace updating algorithm;  eigenvalue decomposition
分类号:
TN911.7
DOI:
10.11830/ISSN.1000-5013.2012.04.0375
文献标志码:
A
摘要:
为改进传统算法对突变信号跟踪慢的缺点,提出一种有效的可变遗忘因子的子空间更新算法——逼近特征分解方法.该算法采用可变遗忘因子对阵列输出信号协方差矩阵进行秩-1更新,在该协方差矩阵特征分解的基础上,结合先验信息构造新的代价函数,并利用该代价函数的最小二乘解实现对信号子空间的实时更新.仿真结果表明:新算法的波达方向估计误差仅为原算法的1/5,而对突变信号的跟踪速度达到原算法的5倍,证实该算法的准确性和有效性.
Abstract:
In order to improve the weakness of the traditional methods on tracking sudden parameter changing signals slowly, the approximation eigenvalue decompositionan method, an efficient subspace updating algorithm with variable forgetting factor, is presented. The novel algorithm adopts a new rank_1 updating equation with variable forgetting factors to update the covariance matrix of the array output signals. At the same time it proposes a new cost function which is based on the prior information and the eigenvalue decomposition(ED)of the updated covariance matrix. And then the signal subspace is updated real time by the least square solution of the new cost function. Finally,some examples are simulated and the results exhibit that the algorithm provides not only one fifth of the direction of arrival estimation error, but also five times of the tracking speed of sudden parameter changing signals to the original algorithm, which confirms the accuracy and effectiveness of this new algorithm.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2011-08-29
通信作者: 汤炜(1974-),男,副教授,主要从事电磁场数值算法的研究.E-mail:tangwei74@hqu.edu.cn.
基金项目: 福建省高校服务海西建设重点项目(2009HZ0008)
更新日期/Last Update: 2012-07-20