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Research of Ecologic System Optimization Algorithms for Multi-user Detection in CDMA Communication Systems
基于拟生态优化算法的CDMA多用户检测方法

Keywords: Code Division Multiple Access (CDMA),Multi-User Detection (MUD),Ecologic system optimization algorithms,Ant Colony Optimization (ACO) algorithm,Particle Swarm Optimization (PSO) algorithm
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,多用户检测,拟生态系统优化算法,蚁群优化算法,粒子群优化算法

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Abstract:

An ecologic system optimization algorithm is a type of new developed evolutionary algorithm, which is based on swarm intelligence, and has the properties of converge quickly, simple rules. This paper research the ant colony optimization algorithm and the particle swarm optimization on discrete space, and describe two algorithms for the multi-user detection problem in Code Division Multiple Access(CDMA) communication system.The approach using some new methods to improve the search quality and efficiency, analyses and simulation results show the approach has low computational complexity, and the BER property of the algorithm is better than the conventional detector, to find a new method to solve the problem of MUD in CDMA.

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