Optimized decision delays in finite-length MIMO DFE

Author

Dam, Hai Huyen ; Nordholm, Sven ; Day, Greg

Author_Institution

Western Australian Telecommun. Res. Inst., Curtin Univ., Bentley, WA, Australia

Volume

12

Issue

5

fYear

2005

fDate

5/1/2005 12:00:00 AM

Firstpage

391

Lastpage

394

Abstract

Finite-length multiple-input multiple-output (MIMO) decision feedback equalizers (DFEs) that optimize the decision delays are investigated herein. The mean square error (MSE) of each output with respect to the decision delays is derived to form the basis of the optimization cost function. A genetic algorithm (GA) is implemented to reduce the computational burden of the search. Simulation results show that the GA successfully tracks the optimum decision delays with only a fraction of the computational complexity of the global search. Moreover, the use of optimized decision delays in the MIMO DFE for simulated fading MIMO channels provides an average improvement of 4.1 dB for the combined output MSE.

Keywords

MIMO systems; computational complexity; decision feedback equalisers; delays; fading channels; genetic algorithms; mean square error methods; optimisation; DFE; GA; MSE; computational complexity; decision feedback equalizers; fading channels; finite-length MIMO; genetic algorithm; mean square error; multiple-input multiple-output; optimized decision delays; Computational complexity; Computational modeling; Decision feedback equalizers; Delay effects; Delay estimation; Genetic algorithms; MIMO; Maximum likelihood detection; Mean square error methods; Transmitters; Decision delay; MIMO systems; MMSE; decision feedback equalizers; genetic algorithm;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2005.845591

Filename

1420348