Improved Blind Multiuser Detection Algorithm Based on Minimum Output Energy

• Published in: Transactions of Tianjin University Vol. 18; no. 6; pp. 450 - 455
• Main Author: 刘婷 张立毅 陈雷
• Format: Journal Article
• Language: English
• Published: Heidelberg Tianjin University 01.12.2012; School of Information Engineering,Tianjin University of Commerce,Tianjin 300134,China%School of Information Engineering,Tianjin University of Commerce,Tianjin 300134,China; School of Electronic Information Engineering,Tianjin University,Tianjin 300072,China
• Subjects: Engineering; Hopfield神经网络; Humanities and Social Sciences; Mechanical Engineering; multidisciplinary; Science; 仿真结果; 复杂性; 收敛速度; 最小输出能量; 盲多用户检测算法; 自适应多用户检测算法; 节省资源; energy function; Hopfield neural network; multiuser detection; minimum output energy (MOE); constrained optimization
• ISSN: 1006-4982; 1995-8196
• DOI: 10.1007/s12209-012-1844-0

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.