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

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
PB  - Atlantis Press
SP  - 1
EP  - 8
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-17.2017.1
DO  - 10.2991/iccse-17.2017.1
ID  - Huang2017/07
ER  -