Abstract / truncated to 115 words (read the full abstract)

The multivariable decision feedback equalizer is investigated as a tool for multiuser detection and interference rejection. Three different DFE structures are introduced. The first DFE has a non-causal feedforward filter and a causal feedback filter. We show how its parameters can be tuned to give a minimum mean-square error. The second DFE is derived under the constraint of realizability. The explicit structure and design equations for an optimum realizable minimum mean-square error DFE are obtained. The zero-forcing criterion is also considered, and conditions for the existence of a zero-forcing solution are derived. We then consider a DFE where both feedforward and feedback filters are FIR filters of predetermined degrees. We discuss the tuning procedure for ...

Information

Author
Tidestav, Claes
Institution
Uppsala University
Supervisors
Publication Year
1999
Upload Date
July 3, 2008

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