Blind Signal Separation of the Unknown Sources Number Based Under the Constraint of Space Direction

DOI

10.2991/aer.k.201203.014How to use a DOI?

Keywords

blind signal separation, uniform linear array, unknown source number, kurtosis

Abstract

The blind signal separation based on eigenvalue decomposition, and under the number of unknown sources, when the dimensionality of signal space is determined to be wrong, it will result in larger separation error. This paper uses the directional information of the array structure to build the blind signal separation algorithm based on the “Space kurtosis” spectrum, which can avoid the eigenvalue decomposition. The algorithm takes full use of the statistical independence of source signals and spatial distribution independence that can better separate the source signal and suppression noise. The simulation experiment results show the algorithm under the unknown source number that proposed in this paper features high accuracy and high robustness.

Copyright

© 2020, 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  - Mei-Mei
AU  - Huang Xing Li
PY  - 2020
DA  - 2020/12/03
TI  - Blind Signal Separation of the Unknown Sources Number Based Under the Constraint of Space Direction
BT  - Proceedings of the 2020 9th International Conference on Applied Science, Engineering and Technology (ICASET 2020)
PB  - Atlantis Press
SP  - 68
EP  - 71
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.201203.014
DO  - 10.2991/aer.k.201203.014
ID  - Huang2020
ER  -