Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)

Performance Comparison of Blind Equalization Algorithm

Authors
Wenjun Su, Haitao Chen
Corresponding Author
Wenjun Su
Available Online March 2017.
DOI
10.2991/emcs-17.2017.96How to use a DOI?
Keywords
CMA; BSE; FSE
Abstract

Theory and method of Baud spaced equalizer (BSE) and fractionally spaced equalizer (FSE) based on constant modulus algorithm (CMA) are reviewed. For the un-changed characteristics channel, adaptive constant modulus algorithm can achieve good performance in blind equalization. But the tracking ability of adaptive constant modulus algorithm gets worse while the char-acteristics of channel changes more quickly. Fractional-ly spaced equalizer can achieve distortion compensation in the received signal and better performance than baud-spaced equalizer, because aliasing caused by under sampling is avoided.

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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Volume Title
Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
Series
Advances in Computer Science Research
Publication Date
March 2017
ISBN
10.2991/emcs-17.2017.96
ISSN
2352-538X
DOI
10.2991/emcs-17.2017.96How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Wenjun Su
AU  - Haitao Chen
PY  - 2017/03
DA  - 2017/03
TI  - Performance Comparison of Blind Equalization Algorithm
BT  - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
PB  - Atlantis Press
SP  - 484
EP  - 488
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-17.2017.96
DO  - 10.2991/emcs-17.2017.96
ID  - Su2017/03
ER  -