Author

Razavilar

Date of Award

12-1998

Degree Name

Master of Science in Engineering

Department

Electrical and Computer Engineering

First Advisor

Dr. Raghvendra Gejji

Second Advisor

Dr. S. Hossein Mousavinezhad

Third Advisor

Dr. Dionysios Kountanis

Access Setting

Masters Thesis-Open Access

Abstract

Inter Symbol Interference (ISI) is a characteristic of band-limited communication channels that can severely degrade the digital communication system performance if not treated properly. Channel equalization techniques may be used to mitigate the effects of ISI in the system, thereby improving the system capacity and performance. In this thesis, the problem of Inter Symbol Interference caused by the nonlinear characteristics of band limited communication channels and adaptive equalization techniques to combat the effects of ISI are discussed. First, the analysis of ISI in a band limited communication channel using a concrete theoretical framework is presented. Next, various adaptive equalization techniques of band limited channels are presented. Computer simulations are conducted for various adaptive equalization algorithms such as least mean squares (LMS), normalized least mean squares (NLMS), recursive least squares (RLS), and recursive least squares lattice (RLSL) algorithms. Based on the simulation results, conclusions and comments are made on pros and cons of various adaptive equalization techniques studied in this thesis.

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