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

@article{citeulike:5847581, abstract = {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}, author = {Huang, Yiteng and Benesty, J. and Elko, G. W. and Mersereati, R. M.}, citeulike-article-id = {5847581}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/89.966097}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=966097}, day = {06}, doi = {10.1109/89.966097}, journal = {Speech and Audio Processing, IEEE Transactions on}, keywords = {least-squares, localization, passive, real, time}, month = {August}, number = {8}, pages = {943--956}, posted-at = {2009-09-28 20:21:10}, priority = {0}, title = {Real-time passive source localization: a practical linear-correction least-squares approach}, url = {http://dx.doi.org/10.1109/89.966097}, volume = {9}, year = {2002} }

TY - JOUR ID - citeulike:5847581 L3 - citeulike-article-id:5847581 N2 - 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 IS - 8 JF - Speech and Audio Processing, IEEE Transactions on EP - 956 TI - Real-time passive source localization: a practical linear-correction least-squares approach VL - 9 SP - 943 KW - least-squares KW - localization KW - passive KW - real KW - time AU - Huang, Yiteng AU - Benesty, J AU - Elko, GW AU - Mersereati, RM PY - 2002/08/06/ UR - http://dx.doi.org/10.1109/89.966097 ER -