Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)

Blind Signal Separation of Unknown Source Number under the Constraint Based on Uniform Linear Array

Authors
Jin-de Huang, Bin Liao, Bing Chen
Corresponding Author
Jin-de Huang
Available Online July 2017.
DOI
https://doi.org/10.2991/iccse-17.2017.1How to use a DOI?
Keywords
Blind signal separation, Uniform linear array, Unknown source number, Kurtosis
Abstract
Regarding blind signal separation based on eigenvalue decomposition, when the spatial dimension of signal is wrong in case of unknown source quantity, it will result in significant separation errors. By making use of kurtosis as the cost function, this paper attempts to construct a blind signal separation algorithm taking "space-kurtosis" spectrum as the basis, thus avoiding eigenvalue decomposition. Meanwhile, in the operation process, the source signal statistic independence and spatial distribution independence are fully utilized. It is proved by simulation experiments that the algorithm is with characteristics of high accuracy, fast operation and strong robustness.
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Proceedings
2017 International Conference on Computational Science and Engineering(ICCSE 2017)
Part of series
Advances in Computer Science Research
Publication Date
July 2017
ISBN
978-94-6252-404-0
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccse-17.2017.1How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jin-de Huang
AU  - Bin Liao
AU  - Bing Chen
PY  - 2017/07
DA  - 2017/07
TI  - Blind Signal Separation of Unknown Source Number under the Constraint Based on Uniform Linear Array
BT  - 2017 International Conference on Computational Science and Engineering(ICCSE 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-17.2017.1
DO  - https://doi.org/10.2991/iccse-17.2017.1
ID  - Huang2017/07
ER  -