National Taiwan Ocean University Institutional Repository:Item 987654321/40567
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 28611/40652
造访人次 : 754419      在线人数 : 52
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 进阶搜寻

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40567

题名: ADAPTIVE EIGENDECOMPOSITION ALGORITHMS FOR EIGENSTRUCTURE-BASED ARRAY SIGNAL PROCESSING
作者: Lena Chang
贡献者: 國立臺灣海洋大學:通訊與導航工程學系
关键词: eigendecomposition
eigenstructure
日期: 2012
上传时间: 2017-01-20T05:53:57Z
出版者: Journal of the Chinese Institute of Engineers
摘要: Absract: This paper first presents a forward-only algorithm for adaptive eigendecomposition of a continuously updated sample correlation matrix for arbitrary geometry arrays. The proposed forward-only adaptive eigendecomposition (FOAE) algorithm is based on an alternate iteration technique which can alleviate the computation complexity of the standard eigendecomposition. For an MxM matrix, the FOAE algorithm requires O(Mq) complex operations per iteration to adjust the eigencomponents of the signal subspace, where q is the signal subspace dimension. Then, for a symmetrically distributed antenna array, we exploit the Hermitian persymmetric property of the correlation matrix to develop a real-valued forward-backward adaptive eigendecomposition (RFBAE) algorithm. The proposed RFBAE algorithm requires only O(Mq) real operations in each iteration. Moreover, the FOAE and RFBAE algorithms are applied to estimate or track the angles of arrival and design the eigenspace-based beamformer. Simulation results confirm the fast convergence rate of the proposed algorithms and the RFBAE algorithm performs better than the FOAE algorithm.
關聯: 20(4)
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40567
显示于类别:[通訊與導航工程學系] 期刊論文

文件中的档案:

档案 描述 大小格式浏览次数
index.html0KbHTML100检视/开启


在NTOUR中所有的数据项都受到原著作权保护.

 


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈