Title page for ETD etd-0708103-211606


Type of Document Dissertation
Author Li, Lijuan
Author's Email Address lli4@lsu.edu
URN etd-0708103-211606
Title Design of Optimal Equalizers and Precoders for MIMO Channels
Degree Doctor of Philosophy (Ph.D.)
Department Electrical & Computer Engineering
Advisory Committee
Advisor Name Title
Guoxiang Gu Committee Chair
Kemin Zhou Committee Co-Chair
Hsiao-Chun Wu Committee Member
Peter Wolenski Committee Member
Subhash Kak Committee Member
Roger McNeil Dean's Representative
Keywords
  • multirate filterbank
  • multiple antenna
  • channel equalization
  • bit error rate
  • intersymbol interference
Date of Defense 2003-07-08
Availability unrestricted
Abstract
Channel equalization has been extensively

studied as a method of combating ISI and

ICI for high speed MIMO data communication

systems. This dissertation focuses on optimal

channel equalization in the presence of non-white

observation noises with unknown PSD but bounded

power-norm. A worst-case approach to optimal

design of channel equalizers leads to an

equivalent optimal H-infinity filtering problem

for the MIMO communication systems. An explicit

design algorithm is derived which not only

achieves the zero-forcing (ZF) condition, but

also minimizes the RMS error between the

transmitted symbols and the received symbols.

The second part of this dissertation investigates

the design of optimal precoders which minimize

the bit error rate (BER) subject to a fixed

transmit-power constraint for the multiple

antennas downlink communication channels under

the perfect reconstruction (PR) condition. The

closed form solutions are derived and an efficient

design algorithm is proposed. The performance

evaluations indicate that the optimal precoder

design for multiple antennas communication systems

proposed herein is an attractive/reasonable

alternative to the existing precoder design

techniques.

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