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

Nihat Kabaoglu; Hakan A. Cirpan; Erdinc Cekli; Selcuk Paker

doi:10.1109/ISCC.2003.1214166

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

Nihat Kabaoglu, Hakan A. Cirpan, Erdinc Cekli, Selcuk Paker

Department of Electronics and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - 8th IEEE International Symposium on Computers and Communication, ISCC 2003
Pages	492-497
Number of pages	6
DOIs	https://doi.org/10.1109/ISCC.2003.1214166
Publication status	Published - 2003
Event	8th IEEE International Symposium on Computers and Communication, ISCC 2003 - Kemer-Antalya, Turkey Duration: 30 Jun 2003 → 3 Jul 2003

Publication series

Name	Proceedings - IEEE Symposium on Computers and Communications
ISSN (Print)	1530-1346

Conference

Conference	8th IEEE International Symposium on Computers and Communication, ISCC 2003
Country/Territory	Turkey
City	Kemer-Antalya
Period	30/06/03 → 3/07/03

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10.1109/ISCC.2003.1214166

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title = "Maximum likelihood 3-D near-field source localization using the em algorithm",

abstract = "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.",

author = "Nihat Kabaoglu and Cirpan, {Hakan A.} and Erdinc Cekli and Selcuk Paker",

year = "2003",

doi = "10.1109/ISCC.2003.1214166",

language = "English",

isbn = "076951961X",

series = "Proceedings - IEEE Symposium on Computers and Communications",

pages = "492--497",

booktitle = "Proceedings - 8th IEEE International Symposium on Computers and Communication, ISCC 2003",

note = "8th IEEE International Symposium on Computers and Communication, ISCC 2003 ; Conference date: 30-06-2003 Through 03-07-2003",

}

Kabaoglu, N, Cirpan, HA, Cekli, E & Paker, S 2003, Maximum likelihood 3-D near-field source localization using the em algorithm. in Proceedings - 8th IEEE International Symposium on Computers and Communication, ISCC 2003., 1214166, Proceedings - IEEE Symposium on Computers and Communications, pp. 492-497, 8th IEEE International Symposium on Computers and Communication, ISCC 2003, Kemer-Antalya, Turkey, 30/06/03. https://doi.org/10.1109/ISCC.2003.1214166

Maximum likelihood 3-D near-field source localization using the em algorithm. / Kabaoglu, Nihat; Cirpan, Hakan A.; Cekli, Erdinc et al.
Proceedings - 8th IEEE International Symposium on Computers and Communication, ISCC 2003. 2003. p. 492-497 1214166 (Proceedings - IEEE Symposium on Computers and Communications).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Maximum likelihood 3-D near-field source localization using the em algorithm

AU - Kabaoglu, Nihat

AU - Cirpan, Hakan A.

AU - Cekli, Erdinc

AU - Paker, Selcuk

PY - 2003

Y1 - 2003

N2 - 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.

AB - 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.

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U2 - 10.1109/ISCC.2003.1214166

DO - 10.1109/ISCC.2003.1214166

M3 - Conference contribution

AN - SCOPUS:27844554158

SN - 076951961X

SN - 9780769519616

T3 - Proceedings - IEEE Symposium on Computers and Communications

SP - 492

EP - 497

BT - Proceedings - 8th IEEE International Symposium on Computers and Communication, ISCC 2003

T2 - 8th IEEE International Symposium on Computers and Communication, ISCC 2003

Y2 - 30 June 2003 through 3 July 2003

ER -

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

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