会议专题

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

2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

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)