TY - GEN
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 - https://www.scopus.com/pages/publications/0038648971
M3 - Conference contribution
AN - SCOPUS:0038648971
SN - 0780374908
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
SP - 1134
EP - 1137
BT - TENCOM 2002 - 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering, TENCOM 2002
Y2 - 28 October 2002 through 31 October 2002
ER -