Performance Analysis and Investigation of Non-blind Adaptive Equalizers for Broadcasting Channels
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Date
2016-10
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Addis Ababa University
Abstract
Adaptive equalization is a process of compensating the disruptive effects caused by inter symbol interference (ISI) in a band limited channel and plays a vital role for enabling higher data rate transmissions in digital communication systems. In this thesis, different linear and non-linear non-blind equalization techniques were studied to select the appropriate technique to be applied in frequency selective broadcasting channels. The study is part of a joint project between Information Networks Security Agency (INSA) of Ethiopia and Addis Ababa University (AAU) that intends to implement advanced digital receiver with adaptive equalizer for a certain application in broadcasting systems.
For simulation test, Recursive Least Square (RLS) algorithm based linear equalizer was implemented in MATLAB software. Using this equalizer, it was possible to recover a corrupted image signal successfully after passing through a frequency selective fading channel modeled as typically urban (TU) model with 6 signal paths. Performance of the RLS equalizer in training only and decision directed training modes were also compared and simulation results show that the RLS equalizer in decision directed training mode performs better than the same equalizer in training only mode. Therefore, based on the results obtained, the RLS equalizer in decision directed training mode is recommend for implementation by the industry.
Keywords: Adaptive Equalizer, Frequency Selective Channel, Adaptive Algorithms, LMS Algorithm, RLS Algorithm, Broadcast Channels, TU6 Channel Model.
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Keywords
Adaptive Equalizer, Adaptive Algorithms, LMS Algorithm, RLS Algorithm, Broadcast Channels, TU6 Channel Model, Frequency Selective Channel