A new block-based NLMS algorithm with SMF crtiteria for decision feedback equalization

Author

Mitra, A.

Author_Institution

Dept. of Electron. & Commun. Eng., Indian Inst. of Technol., Guwahati

fYear

2007

fDate

20-22 Dec. 2007

Firstpage

621

Lastpage

624

Abstract

A novel block-based normalized least mean square (NLMS) algorithm with set-membership filtering (SMF) criteria is proposed for symbol rate decision feedback equalization. The introduced algorithm provides substantial reduction in filter weight updating operations and low bit error rate (BER) while keeping the convergence speed almost same as the existing algorithms for the same purpose. It is shown in the results that the proposed algorithm yields better BER performance in presence of co-channel interference.

Keywords

cochannel interference; decision feedback equalisers; error statistics; filtering theory; least mean squares methods; BER; bit error rate; block-based normalized least mean square algorithm; cochannel interference; decision feedback equalization; filter weight updating operation; set-membership filtering criteria; Decision feedback equalizer; adaptive system; co-channel interference; least mean square method;

fLanguage

English

Publisher

iet

Conference_Titel

Information and Communication Technology in Electrical Sciences (ICTES 2007), 2007. ICTES. IET-UK International Conference on

Conference_Location

Tamil Nadu

ISSN

0537-9989

Type

conf

Filename

4735870

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2173249