ARRAY SHAPE CALIBRATION USING SOURCES IN UNKNOWN LOCATIONS - A MAXIMUM LIKELIHOOD APPROACH.

Anthony J. Weiss, Benjamin Friedlander

Research output: Contribution to journalConference articlepeer-review

Abstract

Sensor location uncertainly can severely degrade the performance of direction finding systems. An exact maximum-likelihood method for simultaneously estimating directions of arrival (DOA) and sensor locations is developed to alleviate this problem. The case of nondisjoint sources, i. e. , sources observed in the same frequency cell and at the same time, is emphasized. The algorithm is iterative and converges to the global maximum of the likelihood function is the initial conditions are good enough. Selected numerical examples demonstrate that the proposed technique is capable of correcting severe errors in the DOA estimates due to sensor location uncertainty.

Original languageEnglish
Pages (from-to)2670-2673
Number of pages4
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
StatePublished - 1988
Externally publishedYes

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