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

Fuxi Wen; Wei Liu; Xiaochun Lu

doi:10.1109/ICDSP.2015.7252016

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

Fuxi Wen
, Wei Liu
, Xiaochun Lu

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2015 IEEE International Conference on Digital Signal Processing, DSP 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	944-947
Number of pages	4
ISBN (Electronic)	9781479980581, 9781479980581
DOIs	https://doi.org/10.1109/ICDSP.2015.7252016
Publication status	Published - Sept 2015
Event	IEEE International Conference on Digital Signal Processing, DSP 2015 - Singapore, Singapore Duration: 21 Jul 2015 → 24 Jul 2015

Publication series

Name	International Conference on Digital Signal Processing, DSP
Volume	2015-September

Conference

Conference	IEEE International Conference on Digital Signal Processing, DSP 2015
Country/Territory	Singapore
City	Singapore
Period	21/07/15 → 24/07/15

Keywords

Distributed expectation-maximization (EM) algorithm
DOA estimation
far-field sources

ASJC Scopus subject areas

Signal Processing

More information

10.1109/ICDSP.2015.7252016

Cite this

Wen, F., Liu, W., & Lu, X. (2015). Distributed expectation-maximization algorithm for DOA estimation in wireless sensor networks. In 2015 IEEE International Conference on Digital Signal Processing, DSP 2015 (pp. 944-947). Article 7252016 (International Conference on Digital Signal Processing, DSP; Vol. 2015-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDSP.2015.7252016

@inproceedings{15e2511b25b64d088c9d5b671305d68e,

title = "Distributed expectation-maximization algorithm for DOA estimation in wireless sensor networks",

abstract = "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.",

keywords = "Distributed expectation-maximization (EM) algorithm, DOA estimation, far-field sources",

author = "Fuxi Wen and Wei Liu and Xiaochun Lu",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Digital Signal Processing, DSP 2015 ; Conference date: 21-07-2015 Through 24-07-2015",

year = "2015",

month = sep,

doi = "10.1109/ICDSP.2015.7252016",

language = "English",

series = "International Conference on Digital Signal Processing, DSP",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "944--947",

booktitle = "2015 IEEE International Conference on Digital Signal Processing, DSP 2015",

}

Wen, F, Liu, W & Lu, X 2015, Distributed expectation-maximization algorithm for DOA estimation in wireless sensor networks. in 2015 IEEE International Conference on Digital Signal Processing, DSP 2015., 7252016, International Conference on Digital Signal Processing, DSP, vol. 2015-September, Institute of Electrical and Electronics Engineers Inc., pp. 944-947, IEEE International Conference on Digital Signal Processing, DSP 2015, Singapore, Singapore, 21/07/15. https://doi.org/10.1109/ICDSP.2015.7252016

Distributed expectation-maximization algorithm for DOA estimation in wireless sensor networks. / Wen, Fuxi; Liu, Wei; Lu, Xiaochun.
2015 IEEE International Conference on Digital Signal Processing, DSP 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 944-947 7252016 (International Conference on Digital Signal Processing, DSP; Vol. 2015-September).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Distributed expectation-maximization algorithm for DOA estimation in wireless sensor networks

AU - Wen, Fuxi

AU - Liu, Wei

AU - Lu, Xiaochun

PY - 2015/9

Y1 - 2015/9

N2 - 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.

AB - 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.

KW - Distributed expectation-maximization (EM) algorithm

KW - DOA estimation

KW - far-field sources

UR - https://www.scopus.com/pages/publications/84961330898

U2 - 10.1109/ICDSP.2015.7252016

DO - 10.1109/ICDSP.2015.7252016

M3 - Conference article published in proceeding or book

AN - SCOPUS:84961330898

T3 - International Conference on Digital Signal Processing, DSP

SP - 944

EP - 947

BT - 2015 IEEE International Conference on Digital Signal Processing, DSP 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Conference on Digital Signal Processing, DSP 2015

Y2 - 21 July 2015 through 24 July 2015

ER -

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this