Simulated annealing: theory and applications
Simulated annealing: theory and applications
Multiuser Detection
Genetic Algorithms and Grouping Problems
Genetic Algorithms and Grouping Problems
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
Tabu Search
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
Space-time block coding for wireless communications: performance results
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
An efficient MIMO detection algorithm employed in imperfect noise estimation
WSEAS TRANSACTIONS on COMMUNICATIONS
Efficient symbol detection in multi-device STBC-MIMO system
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
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Enhanced genetic algorithms (GA) applied in space-time block coded (STBC) multiuser detection (MUD) systems in Rayleigh flat-fading channels are reported in this paper. Firstly, an improved objective function, which is designed to help speed up the search for the optimal solution, is introduced. Secondly, a decorrelating detector (DD) and a minimum mean square error (MMSE) detector have been added to the GA STBC MUD receiver to create the seed chromosome in the initial population. This operation has improved the receiver performance further because some signal information has been intentionally embedded in the initial population. Simulation results show that the receiver employing the improved objective function and the DD or MMSE detector can converge faster with the same bit error rate (BER) performance than the receiver with the initial population chosen randomly. The total signal-to-noise ratio (SNR) improvement contributed by these two modifications can reach 4 dB. Hence the proposed GA receiver is a promising solution of the STBC MUD problem.