Multiuser Detector Based on Adaptive Artificial Fish School Algorithm

Yu Yang; Yin Zhi-feng; Tian Ya-fei

doi:10.3724/SP.J.1146.2005.00681

Volume 29 Issue 1

Jan. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2007 > 29(1): 121-124

Yu Yang, Yin Zhi-feng, Tian Ya-fei. Multiuser Detector Based on Adaptive Artificial Fish School Algorithm[J]. Journal of Electronics & Information Technology, 2007, 29(1): 121-124. doi: 10.3724/SP.J.1146.2005.00681

Citation:

Yu Yang, Yin Zhi-feng, Tian Ya-fei. Multiuser Detector Based on Adaptive Artificial Fish School Algorithm[J]. Journal of Electronics & Information Technology, 2007, 29(1): 121-124. doi: 10.3724/SP.J.1146.2005.00681

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Multiuser Detector Based on Adaptive Artificial Fish School Algorithm

doi: 10.3724/SP.J.1146.2005.00681

Received Date: 2005-06-13
Rev Recd Date: 2006-05-08
Publish Date: 2007-01-19

Abstract

Abstract

Artificial Fish School Algorithm (AFSA) is a new kind of intelligence optimization algorithm, which has some advantages that Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) do not have. But this algorithm has several disadvantages such as the blindness of searching at the later stage and the poor ability to keep the balance of exploration and exploitation, which reduce its probability of searching the best result. To overcome these problems, two improved AFSA named AAFSA_FP and AAFSA_SP were proposed based on idea of adaptive. Then the new algorithms are applied to solve the multiuser detection problems. Simulation results show that the proposed detectors outperform GA detector and PSO detector in terms of BER, near-far resistant and convergence performance.

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References(1)

References

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