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...

Full description

Saved in:
Bibliographic Details
Published in:International Conference on Digital Signal Processing proceedings pp. 944 - 947
Main Authors: Wen, Fuxi, Liu, Wei, Lu, Xiaochun
Format: Conference Proceeding Journal Article
Language:English
Published: IEEE 09.09.2015
Subjects:
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
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
Bibliography: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