An Efficient Linear-Correction Least-Squares Approach to Source Localization

Yiteng (Arden) Huang, Jacob Benesty, Gary W. Elko, Russell M. Mersereau

To appear at Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA01), Mohonk Mountain Resort, NY, 21-24 October 2001


A linear-correction least-squares estimation procedure is proposed for the source localization problem under an additive measurement error model. The method, which can be easily implemented in a real-time system with moderate computational complexity, yields an unbiased source location estimator. Alternative existing estimators, including likelihood-based, spherical interpolation, and quadratic-correction least-squares estimators, are investigated and comparisons of their complexity, estimation consistency and efficiency against the Cramer-Rao lower bound are made. Numerical studies demonstrate that the proposed estimator performs better under many practical situations.

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