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

^*Corresponding author for this work

School of Integrated Circuits and Electronics

Beijing Institute of Technology

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English
Pages	1134-1137
Number of pages	4
Publication status	Published - 2002
Event	2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering - Beijing, China Duration: 28 Oct 2002 → 31 Oct 2002

Conference

Conference	2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Country/Territory	China
City	Beijing
Period	28/10/02 → 31/10/02

Keywords

Direction-of-Arrival
Least Squares Fitting
Rank Deficiency
Time Correlation Matrix

Cite this

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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

Abstract

Conference

Keywords

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Cite this