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Title:Mitigating the Effects of Intersymbol Interference: Algorithms and Analysis
Author(s):Nelson, Jill Karen
Doctoral Committee Chair(s):Andrew Singer
Department / Program:Electrical Engineering
Discipline:Electrical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Engineering, Electronics and Electrical
Abstract:In addition to asymptotic analysis of receivers for ISI channels, we also propose a joint maximum likelihood detection and decoding scheme for use when the channel is unknown to the receiver. Rather than employing training data to generate an estimate of the channel, the proposed receiver views the channel taps as stochastic quantities drawn from a known prior distribution and uses Bayesian techniques to compute estimates of the transmitted symbols. To implement the proposed receiver, we employ a stacklike algorithm, which estimates the transmitted bits by navigating the tree generated by the combined code and channel. We describe the derivation of the Bayesian metric and explore the performance loss incurred as a result of the lack of channel knowledge. In addition, we empirically characterize the robustness of the Bayesian detector to variations in the parameters of the prior distribution.
Issue Date:2005
Description:138 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.
Other Identifier(s):(MiAaPQ)AAI3199099
Date Available in IDEALS:2015-09-25
Date Deposited:2005

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