Abo Bibliothek: Guest
Digitales Portal Digitale Bibliothek eBooks Zeitschriften Referenzen und Berichte Forschungssammlungen
Telecommunications and Radio Engineering
CiteScore™: 0.23 SNIP: 0.2 SJR: 0.202

ISSN Druckformat: 0040-2508
ISSN Online: 1943-6009

Volumen 77, 2018 Volumen 76, 2017 Volumen 75, 2016 Volumen 74, 2015 Volumen 73, 2014 Volumen 72, 2013 Volumen 71, 2012 Volumen 70, 2011 Volumen 69, 2010 Volumen 68, 2009 Volumen 67, 2008 Volumen 66, 2007 Volumen 65, 2006 Volumen 64, 2005 Volumen 63, 2005 Volumen 62, 2004 Volumen 61, 2004 Volumen 60, 2003 Volumen 59, 2003 Volumen 58, 2002 Volumen 57, 2002 Volumen 56, 2001 Volumen 55, 2001 Volumen 54, 2000 Volumen 53, 1999 Volumen 52, 1998 Volumen 51, 1997

Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v68.i8.50
pages 697-708

Performance Comparison of Adaptive Linear Equalized and Adaptive MMSE-DFE

Saniay Kumar Sharma
Dept. of Electronics and Communication Engg, Krishna Institute of Engg. and Technology, 13 KM stone, Ghaziabad-Meerut Road, Ghaziabad-201206
S. Naseem Ahmad
Department of Mathematics, Jamia Millia Islamia, New Delhi - 110025


The paper compares the performance of an adaptive linear equalizer and adaptive MMSE DFE. In mobile communication, intersymbol interference (ISI) caused by multipath in bandlimited (frequency selective) time dispersive channels distorts the transmitted signal, causing bit errors at the receiver. ISI has been recognized as the major obstacle to high-speed data transmission over wireless channels. Equalization is a technique used to combat ISI. Linear adaptive equalizers do not perform well on channels, which have deep spectral nulls in the passband. As a more powerful receiver algorithm, we prefer a decision feedback equalizer (DFE), which has better immunity against the spectral channel characteristics. In the paper, we have investigated various adaptive equalizers using the recursive least-squares (RLS) algorithm for wireless communication systems. In that regard, both linear equalizer and non-linear DFE with RLS algorithm have been examined in multipath fading channel model. We have also examined the influence of some important parameters, such as a tap number of the adaptive equalizers, and forgetting factor of the algorithm. Simulation results show that DFE perform much better than adaptive linear equalizer. Further the theoretical results have also been verified through computer simulations.