Title :
A new block-based NLMS algorithm with SMF crtiteria for decision feedback equalization
Author_Institution :
Dept. of Electron. & Commun. Eng., Indian Inst. of Technol., Guwahati
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;
Conference_Titel :
Information and Communication Technology in Electrical Sciences (ICTES 2007), 2007. ICTES. IET-UK International Conference on
Conference_Location :
Tamil Nadu
