关键词: 信道均衡器 RBF网络结构 微粒群算法 混合协同

Abstract:

According to the characteristics of the RBFN equalizers with decision feedback, a boolean variable L is defined as the network structural parameter an d is combined with the original reasoning parameter set to form a new parameter set {c, a, L}, and a new expression related input and output of ANFIS isobtained. Then a hybrid cooperative particle swarm optimization algorithm is proposed to optimize the parameter set {c, a, L}, and the output linear pa rameter set {w} is separated to optimize using LMS. In the proposed method, the dimension of the operating space is reduced and the algorithm convergenc e speed is increased by the hybrid PSO.

Key words: channel equalizer;RBF network structure, particle swarm optimization, hybrid cooperative PSO