Design of Optimal Equalizers and Precoders for MIMO Channels
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 appro...
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| Format: | Others |
| Language: | en |
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LSU
2003
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| Online Access: | http://etd.lsu.edu/docs/available/etd-0708103-211606/ |
| Summary: | 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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