基于擬生態(tài)優(yōu)化算法的CDMA多用戶檢測方法
Research of Ecologic System Optimization Algorithms for Multi-user Detection in CDMA Communication Systems
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摘要: 擬生態(tài)優(yōu)化算法是一類模擬自然生態(tài)系統(tǒng)運行機制，求解復雜優(yōu)化問題的智能計算方法，其中的蟻群算法和粒子群算法是較新出現(xiàn)的兩種具有不同特點的方法。該文研究基本蟻群算法和離散粒子群算法，并結合CDMA多用戶檢測問題，改變算法的搜索機制，提出兩種CDMA多用戶檢測的方法。從理論分析以及實驗仿真的角度對比兩種方法，表明兩種方法的計算復雜度低且可以得到較好誤碼率性能，同時又各有特點。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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