Maximum-likelihood source localization and unknown sensor location estimation for wideband signals in the near-field Export

@article{citeulike:5847526, abstract = {In this paper, we derive the maximum-likelihood (ML) location estimator for wideband sources in the near field of the sensor array. The ML estimator is optimized in a single step, as opposed to other estimators that are optimized separately in relative time-delay and source location estimations. For the multisource case, we propose and demonstrate an efficient alternating projection procedure based on sequential iterative search on single-source parameters. The proposed algorithm is shown to yield superior performance over other suboptimal techniques, including the wideband MUSIC and the two-step least-squares methods, and is efficient with respect to the derived Cramer-Rao bound (CRB). From the CRB analysis, we find that better source location estimates can be obtained for high-frequency signals than low-frequency signals. In addition, large range estimation error results when the source signal is unknown, but such unknown parameter does not have much impact on angle estimation. In some applications, the locations of some sensors may be unknown and must be estimated. The proposed method is extended to estimate the range from a source to an unknown sensor location. After a number of source-location frames, the location of the uncalibrated sensor can be determined based on a least-squares unknown sensor location estimator}, author = {Chen, J. C. and Hudson, R. E. and Yao, Kung}, citeulike-article-id = {5847526}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/TSP.2002.800420}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1018778}, day = {07}, doi = {10.1109/TSP.2002.800420}, journal = {Signal Processing, IEEE Transactions on}, keywords = {likelihood, localization, maximum, passive, sensor, uncertainty, wideband}, month = {August}, number = {8}, pages = {1843--1854}, posted-at = {2009-09-28 19:48:32}, priority = {2}, title = {Maximum-likelihood source localization and unknown sensor location estimation for wideband signals in the near-field}, url = {http://dx.doi.org/10.1109/TSP.2002.800420}, volume = {50}, year = {2002} }

TY - JOUR ID - citeulike:5847526 L3 - citeulike-article-id:5847526 N2 - In this paper, we derive the maximum-likelihood (ML) location estimator for wideband sources in the near field of the sensor array. The ML estimator is optimized in a single step, as opposed to other estimators that are optimized separately in relative time-delay and source location estimations. For the multisource case, we propose and demonstrate an efficient alternating projection procedure based on sequential iterative search on single-source parameters. The proposed algorithm is shown to yield superior performance over other suboptimal techniques, including the wideband MUSIC and the two-step least-squares methods, and is efficient with respect to the derived Cramer-Rao bound (CRB). From the CRB analysis, we find that better source location estimates can be obtained for high-frequency signals than low-frequency signals. In addition, large range estimation error results when the source signal is unknown, but such unknown parameter does not have much impact on angle estimation. In some applications, the locations of some sensors may be unknown and must be estimated. The proposed method is extended to estimate the range from a source to an unknown sensor location. After a number of source-location frames, the location of the uncalibrated sensor can be determined based on a least-squares unknown sensor location estimator IS - 8 JF - Signal Processing, IEEE Transactions on EP - 1854 TI - Maximum-likelihood source localization and unknown sensor location estimation for wideband signals in the near-field VL - 50 SP - 1843 KW - likelihood KW - localization KW - maximum KW - passive KW - sensor KW - uncertainty KW - wideband AU - Chen, JC AU - Hudson, RE AU - Yao, Kung PY - 2002/08/07/ UR - http://dx.doi.org/10.1109/TSP.2002.800420 ER -