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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 extensivelystudied 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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