Bat Swarms Intelligent Optimization Multi-Modulus Algorithm and Influence of Modulation Mode on It

DOI

10.2991/isci-15.2015.13How to use a DOI?

Keywords

Multi-modulus blind equalization algorithm(MMA) Bat algorithm(BA) Global optimal position Optimal weight vector Modulation signals

Abstract

In order to greatly improve the performance of multi-modulus blind equalization algorithm(MMA) and evaluate the influence of modulation mode on it, MMA based on bat swarm intelligent optimization(BA-MMA) is proposed. This proposed algorithm uses the global optimal position vector of a bat swarm which optimized by bat algorithm(BA) as real and imaginary parts simultaneously of the initial optimal weight vector of the MMA to improve convergence speed and reduce mean square error(MSE). The simulation rests with amplitude phase shift keying(APSK) , quadrature amplitude modulation(QAM) , and phase shift keying (PSK) validate the performance of the proposed algorithm.

Copyright

© 2015, 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  - Huapeng Wu
AU  - Yecai Guo
PY  - 2015/01
DA  - 2015/01
TI  - Bat Swarms Intelligent Optimization Multi-Modulus Algorithm and Influence of Modulation Mode on It
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 83
EP  - 89
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.13
DO  - 10.2991/isci-15.2015.13
ID  - Wu2015/01
ER  -