Improved multiuser detectors employing genetic algorithms in a space-time block coded system
type: Item
instance of: scholarly article
title: Improved multiuser detectors employing genetic algorithms in a space-time block coded system
zbMATH Open document ID: 1066.94516
DOI: 10.1155/S1110865704312163
author: Yinggang Du
author: Kam Tai Chan
published in: EURASIP Journal on Applied Signal Processing
publication date: 2005-05-03T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 94A13
Mathematics Subject Classification ID: 94A14
zbMATH DE Number: 2163831
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 2163831