Depth Analysis of Channel Equalization Algorithm

DOI

10.2991/iccmcee-15.2015.188How to use a DOI?

Keywords

Training Sequence, Non-blind Equalization, ZF Algorithm, MMSE Algorithm, MATLAB.

Abstract

The channel equalization technology is one of the key technologies to improve the quality of communication. It has a vital role to improve overall system performance. In order to overcome the inter symbol interference caused by the channel characteristics of the time-varying and multipath propagation, then make sure that the received signal is correct, communication system must use the channel equalization technology. By sending a bunch of training sequence which was known to the sender and receiver, it can estimate the channel’s characteristics, continuously adjust and determine the equalizer’s tap coefficients. Then the inter-symbol interference is overcome. So the performance of the system can be improved. In this paper, firstly, the depth analysis of the zero forcing (ZF) algorithm and minimum mean square error (MMSE) algorithm of channel equalization are performed, and their advantages and disadvantages on the theory are summarized. Secondly, simulating of the two algorithms is based on the MATLAB platform, and their advantages and disadvantages by comparing the simulation results are exhibited.

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  - AnYi Wang
AU  - Yuan Sun
PY  - 2015/11
DA  - 2015/11
TI  - Depth Analysis of Channel Equalization Algorithm
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 1003
EP  - 1006
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.188
DO  - 10.2991/iccmcee-15.2015.188
ID  - Wang2015/11
ER  -