Optimization of decision feedback equalizer tap-length using genetic algorithm

Author

Ji-Hong Son ; Chan-Ho Hwang ; Ki-Man Kim ; Seung-Yong Chun ; Sang-Kook Lee ; Woo-Sik Kim

Author_Institution

Dept. of Radio Commun. Eng., Korea Maritime & Ocean Univ., Busan, South Korea

fYear

2015

fDate

7-10 July 2015

Firstpage

416

Lastpage

418

Abstract

In this paper, we propose an method which is optimizing length of the equalizer taps using genetic algorithm (GA). The equalizer is a decision feedback equalizer (DFE). Feed-forward filter length and feed-back filter length are regarded as genetic information in GA. The GA uses different random cross-over methods. It finds out the optimized DFE tap length for low bit error rate BER. There are two methods for BER calculation in the object function of GA; first, it is to use all data of preamble and payload in order to calculating BER; second, it is merely to use preamble data for communication.

Keywords

error statistics; filtering theory; genetic algorithms; underwater acoustic communication; BER; bit error rate; decision feedback equalizer tap-length; feed-back filter length; feed-forward filter length; genetic algorithm; optimization; optimized DFE tap length; preamble data; random cross-over methods; underwater acoustic communication channels; Biological cells; Bit error rate; Decision feedback equalizers; Field-flow fractionation; Genetic algorithms; Optimization; Decision Feedback Equalizer; Genetic Algorithm; Underwater Acoustic Communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Ubiquitous and Future Networks (ICUFN), 2015 Seventh International Conference on

Conference_Location

Sapporo

ISSN

2288-0712

Type

conf

DOI

10.1109/ICUFN.2015.7182577

Filename

7182577