Distributed expectation-maximization algorithm for DOA estimation in wireless sensor networks

In this paper, we study the problem of using distributed expectation-maximization (EM) for direction-of-arrival (DOA) estimation over wireless sensor networks, where each node is equipped with multiple sensor elements. It is a diffusion adaptation strategy based EM algorithm, which is applicable for...

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Vydané v:International Conference on Digital Signal Processing proceedings s. 944 - 947
Hlavní autori: Wen, Fuxi, Liu, Wei, Lu, Xiaochun
Médium: Konferenčný príspevok.. Journal Article
Jazyk:English
Vydavateľské údaje: IEEE 09.09.2015
Predmet:
Algorithms
Arrays
Conferences
Diffusion
Digital signal processing
Direction-of-arrival estimation
Distributed expectation-maximization (EM) algorithm
DOA estimation
Estimation
far-field sources
Remote sensors
Sensors
Signal processing algorithms
Signal to noise ratio
Strategy
Wireless networks
Wireless sensor networks
ISSN:1546-1874, 2165-3577
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Shrnutí:In this paper, we study the problem of using distributed expectation-maximization (EM) for direction-of-arrival (DOA) estimation over wireless sensor networks, where each node is equipped with multiple sensor elements. It is a diffusion adaptation strategy based EM algorithm, which is applicable for practical scenarios where each node is equipped with different number of sensors and the signal-to-noise ratio (SNR) level is different for different nodes. Furthermore, the computational and storage capabilities of different nodes could be different. Performance of the proposed method is evaluated using computer simulations by considering far-field narrow-band source signals.
Bibliografia:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Conference-1
ObjectType-Feature-3
content type line 23
SourceType-Conference Papers & Proceedings-2
ISSN:1546-1874
2165-3577
DOI:10.1109/ICDSP.2015.7252016