DocumentCode :
2653206
Title :
Robust direction finding
Author :
Vaccaro, Richard J. ; Owsley, Norman L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Rhode Island Univ., Kingston, RI, USA
Volume :
2
fYear :
2004
fDate :
7-10 Nov. 2004
Firstpage :
1958
Abstract :
This paper considers the problem of estimating directions of arrival (DOAs) from sensor-array data when the positions of the sensors are not precisely known. The proposed algorithm is an extension of a previously developed approach based on weighted subspace fitting. The new algorithm shows improved robustness with respect to sensor position perturbations, particularly when estimating the DOAs of weak sources. The robust algorithm treats the sensor position perturbations as unknown deterministic parameters and estimates them jointly with the DOAs.
Keywords :
array signal processing; direction-of-arrival estimation; eigenvalues and eigenfunctions; direction finding; directions of arrival estimation; sensor position perturbations; sensor-array data; unknown deterministic parameters; weighted subspace fitting; Additive noise; Array signal processing; Clustering algorithms; Cost function; Degradation; Direction of arrival estimation; Phased arrays; Robustness; Sensor arrays; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
Print_ISBN :
0-7803-8622-1
Type :
conf
DOI :
10.1109/ACSSC.2004.1399506
Filename :
1399506
Link To Document :
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