DocumentCode
3349503
Title
DOA estimation of multiple moving sources using recursive EM algorithms
Author
Chung, Pei Jung ; Böhme, Johann F.
Author_Institution
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
2002
fDate
4-6 Aug. 2002
Firstpage
323
Lastpage
326
Abstract
The paper deals with maximum likelihood (ML) direction of arrival (DOA) estimation of multiple moving sources. The time-varying DOAs are described by a linear polynomial. Based on the recursive EM algorithm, we develop a recursive procedure to estimate the coefficients of the corresponding polynomial. Because of the simple structure of the augmented data, the resulting recursion has a very simple implementation. Compared to the recursive algorithm developed by L. Frenkel and M. Feder (see IEEE Trans. Sig. Processing, vol.47, no.2, p.306-20, 1999), our approach has the advantage of being insensitive to signal variations. In addition, extension to the wideband case is straightforward. Simulation results show that closely spaced signals can be successfully tracked by the proposed method.
Keywords
array signal processing; direction-of-arrival estimation; maximum likelihood estimation; optimisation; polynomials; recursive estimation; DOA estimation; augmented data; direction of arrival estimation; linear polynomial; maximum likelihood estimation; multiple moving sources; recursive EM algorithms; recursive expectation maximization algorithms; sensor array; Approximation algorithms; Covariance matrix; Data mining; Direction of arrival estimation; Maximum likelihood estimation; Polynomials; Radar tracking; Recursive estimation; Sensor arrays; Wideband;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002
Print_ISBN
0-7803-7551-3
Type
conf
DOI
10.1109/SAM.2002.1191053
Filename
1191053
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