基于PPSO-GRADS算法的盲信号分离
doi: 10.3724/SP.J.1146.2005.01459
Blind Signal Separation Based on PPSO-GRADS Algorithm
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摘要: 该文将联姻策略应用在粒子群算法中,提出一种并行分阶段的基于粒子群优化算法的盲信号分离方法(PPSO-GRADS)。该算法具有收敛速度快，分离精度高的特点。通过仿真证明该算法比未使用联姻策略的粒子群算法有更好的性能，在收敛速度和分离效果上比传统的梯度算法，遗传算法都有较明显的改善。Abstract: In this paper, allied strategy is introduced into PSO and a parallel and two-stage blind signal separation based on particle swarm optimization (parallel particle swarm optimizationgradient algorithm) is proposed. This algorithm is characteristic of rapid convergent speed and high separation precision. The simulation results show that this algorithm proposed is superior to particle swarm optimization in which allied strategy is not applied, and this algorithm is superior to traditional gradient algorithm and genetic algorithm in convergent speed and separation effect.
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Common P. Independent component analysis, a new concept? Signal Processing, 1994, 36(3): 287-314.[2]Bell A J and Sejnowski T J. An information-maximization approach to blind separation and blind deconvolution[J].Neural Computation.1995, 7(6):1129-1159[3]Amari S. Natural gradient works efficiently in learning[J].Neural Computation.1998, 10(2):251-276[4]章晋龙，何昭水，谢胜利. 基于遗传算法的有序盲信号提取.电子学报, 2004, 32(4): 616-619.[5]Yang H H and Amari S I. Adaptive on-line learning algorithms for blind separation-maximum entropy and minimum mutual information[J].Neural Computation.1997, 9(5):1457-1482[6]Angeline P J. Evolutionary optimization versus particle swarm optimization. Philosophy and performance differences. In: Evolutionary Programming VII, 1998: 601-610.[7]杨启文，张国宏. 基于联姻策略的并行遗传算法. 电子学报, 2000, 28(11): 108-110.[8]李敏强，寇纪凇等. 遗传算法的基本理论与应用.北京:科学出版社, 2002: 17-75.[9]Lovbjerg M, Rasmussen T K, and Krind T. Hybrid particle swarm optimiser with breeding and subpopulation. In: Proc of the third Genetic and Evolutionary Computation Conference, San Francisco, 2001: 469-476. -
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