Robust Memory Gradient Blind Equalization Algorithm Based on Error Sign Decision

DOI

10.2991/iccsee.2013.632How to use a DOI?

Keywords

Blind Equalization, Memory Gradient, CMA, Error Sign

Abstract

As CMA blind equalization algorithm based on stochastic gradient descend method has slow convergence rate and big steady state residual error, a robust memory gradient blind equalization algorithm based on error sign decision was proposed. Compared with stochastic gradient algorithm, memory gradient algorithm can make full use of the iteration gradient information of current and last step to accelerate convergence speed and effectively avoid the error convergence algorithm to a certain extent. However, transient noise interference may result in inconsistent direction of current iteration gradient information and last step that may cause the algorithm unstable, if the iteration error sign decision of current and last step is consistent then adopts memory gradient stochastic gradient descent algorithm, this method can ensure the robustness of memory gradient algorithm .The computer simulation results prove the validity of the algorithm.

Copyright

© 2013, 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  - Fangfang HAN
AU  - Guoqiang XU
PY  - 2013/03
DA  - 2013/03
TI  - Robust Memory Gradient Blind Equalization Algorithm Based on Error Sign Decision
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2528
EP  - 2531
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.632
DO  - 10.2991/iccsee.2013.632
ID  - HAN2013/03
ER  -