DocumentCode :
1879934
Title :
Weighted state space methods/ESPRIT and spatial smoothing
Author :
Rao, Bhaskar D. ; Hari, K.V.S.
Author_Institution :
AMES Dept., California Univ., San Diego, La Jolla, CA, USA
fYear :
1991
fDate :
14-17 Apr 1991
Firstpage :
3317
Abstract :
The effect of spatial smoothing on direction of arrival (DOA) estimates obtained using weighted eigen-based state space methods/ESPRIT is analyzed. Expressions for the asymptotic mean-squared error in the estimates of the signal zeros and the DOA estimates, along with some general properties of the estimates are derived. It is shown that proper choice of the subarray length can improve the performance of the method significantly. Based on the asymptotic expressions, an optimum weighting matrix minimizing the mean-squared error in one of the DOA is derived
Keywords :
eigenvalues and eigenfunctions; signal detection; signal processing; state-space methods; DOA estimates; ESPRIT; asymptotic mean-squared error; direction of arrival; eigenvalues; optimum weighting matrix; spatial smoothing; subarray length; weighted state space methods; Amplitude estimation; Covariance matrix; Data models; Direction of arrival estimation; Least squares approximation; Sensor arrays; Smoothing methods; State estimation; State-space methods; Symmetric matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
ISSN :
1520-6149
Print_ISBN :
0-7803-0003-3
Type :
conf
DOI :
10.1109/ICASSP.1991.150163
Filename :
150163
Link To Document :
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