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

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

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

15 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıProceedings - 8th IEEE International Symposium on Computers and Communication, ISCC 2003
Sayfalar492-497
Sayfa sayısı6
DOI'lar
Yayın durumuYayınlandı - 2003
Etkinlik8th IEEE International Symposium on Computers and Communication, ISCC 2003 - Kemer-Antalya, Turkey
Süre: 30 Haz 20033 Tem 2003

Yayın serisi

AdıProceedings - IEEE Symposium on Computers and Communications
ISSN (Basılı)1530-1346

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???event.eventtypes.event.conference???8th IEEE International Symposium on Computers and Communication, ISCC 2003
Ülke/BölgeTurkey
ŞehirKemer-Antalya
Periyot30/06/033/07/03

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