A Neural Network Blind Multi-user Detection Algorithm
This paper proposed a blind multi-user detection algorithm based on neural network. The constant modulus cost function was constructed and cost function with restricted condition was optimized by augmented Lagrange method. Iterative formula of neural network weight and parameters were deduced by Least Mean Square. Blind multi user detection can be realized by iterative functions of neural network. Simulation indicates the new algorithm improves the ability of anti-MAl, reduces error rate, and speeds up convergence rate.
blind multi-user detection algorithm neural network cost function
LI He
College of Technology Taiyuan University of Technology Taiyuan,China
国际会议
长沙
英文
1411-1414
2009-04-11(万方平台首次上网日期,不代表论文的发表时间)