Separation of Communication Signals Based on Underdetermined Blind Source Separation

DOI

10.2991/emcpe-16.2016.54How to use a DOI?

Keywords

signal separation, underdetermined BSS, wavelet, KCCA, data link communication.

Abstract

The paper proposes an improved underdetermined blind source separation (UBSS) method of nonlinear mixture, which can be applied to the communication signals' separation during data link transmission in the complicated electromagnetic environment. The proposed method combines the advantages of wavelet analysis and kernel canonical correlation analysis (KCCA), and can enhance the signals' detection performance to the data link communication via separating the communication signals from the aliasing signals effectively. The simulation results show that the wavelet-KCCA BSS method can pick up the objective communicative signals even in low SNR condition, which has proper feasibility and effectiveness.

Copyright

© 2016, 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  - Xiaotao Guo
AU  - Xing Wang
AU  - Ying Zhang
PY  - 2016/08
DA  - 2016/08
TI  - Separation of Communication Signals Based on Underdetermined Blind Source Separation
BT  - Proceedings of the 2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics
PB  - Atlantis Press
SP  - 258
EP  - 263
SN  - 2352-5401
UR  - https://doi.org/10.2991/emcpe-16.2016.54
DO  - 10.2991/emcpe-16.2016.54
ID  - Guo2016/08
ER  -