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Real-time passive source localization: a practical linear-correction least-squares approach

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4 Author(s)
Yiteng Huang ; Lucent Technol. Bell Labs., Murray Hill, NJ, USA ; Benesty, J. ; Elko, G.W. ; Mersereati, R.M.

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 efficient source location estimator without assuming a priori knowledge of noise distribution. Alternative existing estimators, including likelihood-based, spherical intersection, spherical interpolation, and quadratic-correction least-squares estimators, are reviewed 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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Speech and Audio Processing, IEEE Transactions on  (Volume:9 ,  Issue: 8 )