Elimination of ISI Using Improved LMS Based Decision Feedback Equalizer

2012/08/10 by Mohammad Havaei, Havaei, Mohammad, Nandivada Krishna Prasad +3
Computer Science · #93Cxx #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #cs.AI #msc:93Cxx

paper · pdf · doi:10.48550/arxiv.1208.2199

arxiv created 2012/08/10 · arxiv updated 2012/08/13

Abstract

This paper deals with the implementation of Least Mean Square (LMS) algorithm in Decision Feedback Equalizer (DFE) for removal of Inter Symbol Interference (ISI) at the receiver. The channel disrupts the transmitted signal by spreading it in time. Although, the LMS algorithm is robust and reliable, it is slow in convergence. In order to increase the speed of convergence, modifications have been made in the algorithm where the weights get updated depending on the severity of disturbance.

Related

• A Proposed Improvement Equalizer for Telephone and Mobile Circuit Channels
• Soft-In Soft-Out DFE and Bi-directional DFE
• Selective Multipath Interference Canceller with Linear Equalization for DS-UWB Systems with Low Spreading Factor
• Blind Channel Equalization
• Equalization Methods for NLIN Mitigation