DOA estimation based on least squares fitting with sensor gain and phase uncertainties for Doppler signals

Yougen Xu; Zhiwen Liu

DOA estimation based on least squares fitting with sensor gain and phase uncertainties for Doppler signals

Yougen Xu^*, Zhiwen Liu

^*此作品的通讯作者

集成电路与电子学院

Beijing Institute of Technology

科研成果: 会议稿件 › 论文 › 同行评审

摘要

In this paper, we propose several preprocessing techniques that improve the performance of the LSF based method for DOA estimation in the presence of rank deficiency in time correlation matrix, which frequently occurred in practical applications. In these given methods, the degrees of freedom are reduced with several novel schemes being taken to fulfill the ill conditioned optimization problem. The given techniques include temporal smoothing, subspace constraint, DFT transformation and diagonal loading. Monte Carlo simulation results verify the efficacy of the proposed modifications.

源语言	英语
页	1134-1137
页数	4
出版状态	已出版 - 2002
活动	2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering - Beijing, 中国期限: 28 10月 2002 → 31 10月 2002

会议

会议	2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
国家/地区	中国
市	Beijing
时期	28/10/02 → 31/10/02

其它文件与链接

链接到 Scopus 的出版物

引用此

@conference{74b9e755b74c4630852d3c9e16de875a,

title = "DOA estimation based on least squares fitting with sensor gain and phase uncertainties for Doppler signals",

abstract = "In this paper, we propose several preprocessing techniques that improve the performance of the LSF based method for DOA estimation in the presence of rank deficiency in time correlation matrix, which frequently occurred in practical applications. In these given methods, the degrees of freedom are reduced with several novel schemes being taken to fulfill the ill conditioned optimization problem. The given techniques include temporal smoothing, subspace constraint, DFT transformation and diagonal loading. Monte Carlo simulation results verify the efficacy of the proposed modifications.",

keywords = "Direction-of-Arrival, Least Squares Fitting, Rank Deficiency, Time Correlation Matrix",

author = "Yougen Xu and Zhiwen Liu",

year = "2002",

language = "English",

pages = "1134--1137",

note = "2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering ; Conference date: 28-10-2002 Through 31-10-2002",

}

TY - CONF

T1 - DOA estimation based on least squares fitting with sensor gain and phase uncertainties for Doppler signals

AU - Xu, Yougen

AU - Liu, Zhiwen

PY - 2002

Y1 - 2002

N2 - In this paper, we propose several preprocessing techniques that improve the performance of the LSF based method for DOA estimation in the presence of rank deficiency in time correlation matrix, which frequently occurred in practical applications. In these given methods, the degrees of freedom are reduced with several novel schemes being taken to fulfill the ill conditioned optimization problem. The given techniques include temporal smoothing, subspace constraint, DFT transformation and diagonal loading. Monte Carlo simulation results verify the efficacy of the proposed modifications.

AB - In this paper, we propose several preprocessing techniques that improve the performance of the LSF based method for DOA estimation in the presence of rank deficiency in time correlation matrix, which frequently occurred in practical applications. In these given methods, the degrees of freedom are reduced with several novel schemes being taken to fulfill the ill conditioned optimization problem. The given techniques include temporal smoothing, subspace constraint, DFT transformation and diagonal loading. Monte Carlo simulation results verify the efficacy of the proposed modifications.

KW - Direction-of-Arrival

KW - Least Squares Fitting

KW - Rank Deficiency

KW - Time Correlation Matrix

UR - http://www.scopus.com/inward/record.url?scp=0038648971&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0038648971

SP - 1134

EP - 1137

T2 - 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering

Y2 - 28 October 2002 through 31 October 2002

ER -

DOA estimation based on least squares fitting with sensor gain and phase uncertainties for Doppler signals

摘要

会议

其它文件与链接

指纹

引用此