Improved Blind Multiuser Detection Algorithm Based on Minimum Output Energy  

作　　者：刘婷 张立毅 陈雷 

机构地区：[1]School of Electronic Information Engineering,Tianjin University [2]School of Information Engineering,Tianjin University of Commerce

出　　处：《Transactions of Tianjin University》2012年第6期450-455,共6页天津大学学报（英文版）

基　　金：Supported by China Postdoctoral Science Foundation(No.20060390170);Science and Technology Development Foundation of Tianjin University(No.20060610)

摘　　要：Based on minimum output energy,an improved blind multiuser detection algorithm is proposed by the use of Hopfield neural network.Compared with traditional algorithms,the proposed algorithm does not need the circuit for constraints.The resources are greatly saved and the complexity is reduced as well.The simulation results show that the performance of the improved algorithm is similar to that of the optimal multiuser detection algorithm which is not suitable for the mobile station.Compared with the traditional gradient blind multiuser detection algorithm,the convergence speed of the improved algorithm is quickened.Based on minimum output energy, an improved blind multiuser detection algorithm is proposed by the use of Hopfield neural network. Compared with traditional algorithms, the proposed algorithm does not need the circuit for constraints. The resources are greatly saved and the complexity is reduced as well. The simulation results show that the performance of the improved algorithm is similar to that of the optimal multiuser detection algorithm which is not suitable for the mobile station. Compared with the traditional gradient blind multiuser detection algorithm, the convergence speed of the improved algorithm is quickened.

关 键 词：multiuser detection minimum output energy （MOE） Hopfield neural network energy function constrained optimization 

分 类 号：TN929.533[电子电信—通信与信息系统]