DNA Genetic Optimization Bat Algorithm Based Fractionally Spaced Multi-modulus Blind Equalization Algorithm

DOI

10.2991/iiicec-15.2015.133How to use a DOI?

Keywords

Fractionally spaced equalizer(FSE); Multi-modulus blind equalization algorithm(MMA); DNA genetic optimization bat algorithm(DNA-GBA); Global optimal position

Abstract

A DNA genetic optimization bat algorithm based fractionally spaced multi-modulus blind equalization algorithm (DNA-GBA-FS-MMA) is proposed. This proposed algorithm uses fractionally spaced equalizer(FSE) with ability to oversample to input signals to get more channel information and compensate for channel with the depth spectrum zero, employs DNA genetic optimization bat algorithm(DNA-GBA) for searching the global optimal position vector, which are simultaneously regarded as the real and imaginary parts of the initial weight vector of multi-modulus blind equalization algorithm(MMA) in order to improve convergence speed and reduce mean square error(MSE). Simulation results show that DNA-GBA-FS-MMA has the best equalization effect.

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  - 2015/03
DA  - 2015/03
TI  - DNA Genetic Optimization Bat Algorithm Based Fractionally Spaced Multi-modulus Blind Equalization Algorithm
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 581
EP  - 584
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.133
DO  - 10.2991/iiicec-15.2015.133
ID  - Wu2015/03
ER  -