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Volume 31 Issue 10
Dec.  2010
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Mu Cai-hong, Jiao Li-cheng, Liu Yi. M-elitist Evolutionary Algorithm and Its Application to V-BLAST System[J]. Journal of Electronics & Information Technology, 2009, 31(10): 2443-2448. doi: 10.3724/SP.J.1146.2008.01328
Citation: Mu Cai-hong, Jiao Li-cheng, Liu Yi. M-elitist Evolutionary Algorithm and Its Application to V-BLAST System[J]. Journal of Electronics & Information Technology, 2009, 31(10): 2443-2448. doi: 10.3724/SP.J.1146.2008.01328

M-elitist Evolutionary Algorithm and Its Application to V-BLAST System

doi: 10.3724/SP.J.1146.2008.01328 cstr: 32379.14.SP.J.1146.2008.01328
  • Received Date: 2008-10-14
  • Rev Recd Date: 2009-06-01
  • Publish Date: 2009-10-19
  • A new algorithm named as M-elitist Evolutionary Algorithm (MEA) is presented with low complexity and high performance to approach the performance of Maximum-Likelihood(ML) detection, for solving the problem of the high complexity of ML detection in real-time Vertical- Bell laboratories LAyered Space-Time (V-BLAST) communication system. The simulation of one knapsack problem validates the effectiveness of MEA to solve combinatorial optimization problems. Furthermore, the simulation of V-BLAST communication system shows that the MEA-based detection algorithm can approach the performance of ML well, and is superior to the detection algorithm based on standard genetic algorithm and that based on clonal selection algorithm as well as some classical ones.
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