Performance Analysis and Investigation of Non-blind Adaptive Equalizers for Broadcasting Channels

dc.contributor.advisorHailemariam, Dereje (PhD)
dc.contributor.authorTesfaw, Amare
dc.date.accessioned2018-06-22T07:45:25Z
dc.date.accessioned2023-11-28T14:09:14Z
dc.date.available2018-06-22T07:45:25Z
dc.date.available2023-11-28T14:09:14Z
dc.date.issued2016-10
dc.description.abstractAdaptive 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.en_US
dc.identifier.urihttp://etd.aau.edu.et/handle/12345678/2885
dc.language.isoenen_US
dc.publisherAddis Ababa Universityen_US
dc.subjectAdaptive Equalizeren_US
dc.subjectAdaptive Algorithmsen_US
dc.subjectLMS Algorithmen_US
dc.subjectRLS Algorithmen_US
dc.subjectBroadcast Channelsen_US
dc.subjectTU6 Channel Modelen_US
dc.subjectFrequency Selective Channelen_US
dc.titlePerformance Analysis and Investigation of Non-blind Adaptive Equalizers for Broadcasting Channelsen_US
dc.typeThesisen_US

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