Title page for ETD etd-0402102-124842

Type of Document Dissertation
Author Badran, Ehab Farouk
Author's Email Address ehab_badran@hotmail.com
URN etd-0402102-124842
Title Optimal Channel Equalization for Filterbank Transceivers in Presence of White Noise
Degree Doctor of Philosophy (Ph.D.)
Department Electrical and Computer Engineering
Advisory Committee
Advisor Name Title
Guoxiang Gu Committee Chair
Ahmed A. El-Amawy Committee Member
Kemin Zhou Committee Member
W. George Cochran Committee Member
Peter Kelle Dean's Representative
  • multirate transmultiplexers
  • kalman filter
  • filterbank transceivers
  • channel equalization
  • minimum mean-squared-error
  • left inverses
  • optimal state estimator
Date of Defense 2002-03-26
Availability unrestricted
Filterbank transceivers are widely employed in data communication networks to cope with inter-symbol-interference (ISI) through the use of redundancies. This dissertation studies the design of the optimal channel equalizer for both time-invariant and time-varying channels, and wide-sense stationary (WSS) and possible non-stationary white noise processes. Channel equalization is investigated via the filterbank transceivers approach. All perfect reconstruction (PR) or zero-forcing (ZF) receiver filterbanks are parameterized in an affine form, which eliminate completely the ISI. The optimal channel equalizer is designed through minimization of the mean-squared-error (MSE) between the detected signals and the transmitted signals. Our main results show that the optimal channel equalizer has the form of state estimators, and is a modified Kalman filter. The results in this dissertation are applicable to discrete wavelet multitone (DWMT) systems, multirate transmultiplexers, orthogonal frequency division multiplexing (OFDM), and direct-sequence/spread-spectrum (DS/SS) based code division multiple access (CDMA) networks. Design algorithms for the optimal channel equalizers are developed for different channel models, and white noise processes, and simulation examples are worked out to illustrate the proposed design algorithms.
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