DocumentCode :
858065
Title :
Multisource Self-Calibration for Sensor Arrays
Author :
Wijnholds, Stefan J. ; Van der Veen, Alle-Jan
Author_Institution :
ASTRON, Dwingeloo, Netherlands
Volume :
57
Issue :
9
fYear :
2009
Firstpage :
3512
Lastpage :
3522
Abstract :
Calibration of a sensor array is more involved if the antennas have direction dependent gains and multiple calibrator sources are simultaneously present. We study this case for a sensor array with arbitrary geometry but identical elements, i.e., elements with the same direction dependent gain pattern. A weighted alternating least squares (WALS) algorithm is derived that iteratively solves for the direction independent complex gains of the array elements, their noise powers and their gains in the direction of the calibrator sources. An extension of the problem is the case where the apparent calibrator source locations are unknown, e.g., due to refractive propagation paths. For this case, the WALS method is supplemented with weighted subspace fitting (WSF) direction finding techniques. Using Monte Carlo simulations we demonstrate that both methods are asymptotically statistically efficient and converge within two iterations even in cases of low SNR.
Keywords :
Monte Carlo methods; array signal processing; iterative methods; least mean squares methods; Monte Carlo simulation; array signal processing; direction dependent gain pattern; iterative method; multiple calibrator sources; multisource self-calibration; refractive propagation path; sensor arrays; signal to noise ratio; weighted alternating least squares algorithm; weighted subspace fitting direction finding techniques; Array signal processing; radio astronomy; self-calibration;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2009.2022894
Filename :
4915754
Link To Document :
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