Underdetermined Blind Source Separation of FSK Signal Based on Particle Swarm Optimization

DOI

10.2991/icadme-17.2017.41How to use a DOI?

Keywords

FSK signal; Independent component analysis; Particle swarm optimization; blind signal separation.

Abstract

It's likely undetermined case that the observed signal is less than the number of source number, while the FSK signal of track circuit is mixed with a variety of interference signal. The traditional independent component analysis (ICA) cannot separate source signals. The article separate source signals use the algorithm of FSK signal underdetermined blind separation based on particle swarm optimization. Finally through the computer simulation, it show this method can effectively separate the FSK signal interference signals, and have good separation performance.

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  - Jianghua Xia
AU  - Li Yang
PY  - 2017/07
DA  - 2017/07
TI  - Underdetermined Blind Source Separation of FSK Signal Based on Particle Swarm Optimization
BT  - Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 209
EP  - 213
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-17.2017.41
DO  - 10.2991/icadme-17.2017.41
ID  - Xia2017/07
ER  -