DocumentCode :
775407
Title :
An analysis of weighted eigenspace methods in the presence of sensor errors
Author :
Hamza, Ridha ; Buckley, Kevin
Author_Institution :
Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
Volume :
43
Issue :
5
fYear :
1995
fDate :
5/1/1995 12:00:00 AM
Firstpage :
1140
Lastpage :
1150
Abstract :
Among all direction finding methods, eigenspace-based spectral methods are of interest because they are known to yield asymptotically unbiased and efficient estimates. These algorithms require knowledge of the array geometry and its elements´ characteristics. In real systems, only approximate knowledge of the required array characterization is available. There is valid concern that deviation of nominal sensor gain and phase values can result in degradation of DOA estimates. We analyze the effects of sensor gain and phase perturbation on weighted eigenspace methods (WEMs). We quantify the sensitivity of WEMs by first- and second-order statistical analyses. Simulation results are included to validate our analytical results
Keywords :
direction-of-arrival estimation; eigenvalues and eigenfunctions; error analysis; spectral analysis; statistical analysis; DOA estimates; array elements characteristics; array geometry; asymptotically unbiased estimates; direction finding methods; eigenspace-based spectral methods; sensor errors; sensor gain perturbation; sensor phase perturbation; simulation results; statistical analysis; weighted eigenspace methods; Analysis of variance; Degradation; Direction of arrival estimation; Geometry; Multiple signal classification; Performance analysis; Phased arrays; Sampling methods; Sensor arrays; Sensor phenomena and characterization;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.382399
Filename :
382399
Link To Document :
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