Array Self Calibration with Large Sensor Position Errors
October 2001
Brian P. Flanagan, The MITRE Corporation
Kristine L. Bell, George Mason University
ABSTRACT
Self-calibration algorithms estimate both source directions-of-arrival (DOAs) and perturbed array response vector parameters, such as sensor locations. Calibration errors are usually assumed to be small and a first order approximation to the perturbed array response vector is often used to simplify the estimation procedure. In this paper, we develop a more robust procedure that does not rely on the small error assumption. It has better performance for large estimation errors, and when used to initialize the Weiss and Friedlander MUSIC-based iterative technique, we see significant improvement over existing techniques for both small and large errors.
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