Maximum likelihood 3-D near-field source localization using the EM algorithm

In this paper, maximum likelihood estimator is proposed for passive localization of narrowband sources in the spherical coordinates (azimuth, elevation, range). We adapt expectation/maximization iterative method to solve the complicated multi-parameter optimization problem appearing on the 3-D local...

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Bibliographic Details
Published inProceedings of the Eighth IEEE Symposium on Computers and Communications. ISCC 2003 pp. 492 - 497 vol.1
Main Authors Kabaoglu, N., Cirpan, H.A., Cekli, E., Paker, S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
Subjects
Azimuth
Iterative algorithms
Iterative methods
Maximum likelihood estimation
Microphone arrays
Narrowband
Parameter estimation
Phased arrays
Sensor arrays
Signal processing algorithms
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Summary:In this paper, maximum likelihood estimator is proposed for passive localization of narrowband sources in the spherical coordinates (azimuth, elevation, range). We adapt expectation/maximization iterative method to solve the complicated multi-parameter optimization problem appearing on the 3-D localization problem. The proposed algorithm is based on maximum likelihood criterion, which employs the source signals recorded by 2-D array under near-field assumption. Expectation/maximization algorithm decomposes the observed data into its components and then estimates the parameters of each signal component separately providing computationally efficient solution to the resulting optimization problem. Finally, some numerical simulations illustrate the applicability and effectiveness of the proposed algorithm.
ISBN:9780769519616
076951961X
ISSN:1530-1346
2642-7389
DOI:10.1109/ISCC.2003.1214166