A Neural Network Blind Multi-user Detection Algorithm

Author

Li He

Author_Institution

Coll. of Technol., Taiyuan Univ. of Technol., Taiyuan, China

Volume

2

fYear

2009

fDate

11-12 April 2009

Firstpage

467

Lastpage

470

Abstract

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-MAI., reduces error rate, and speeds up convergence rate.

Keywords

code division multiple access; feedforward neural nets; iterative methods; least mean squares methods; multiuser detection; telecommunication computing; CDMA; augmented Lagrange method; blind multiuser detection algorithm; code division multiple access; constant modulus cost function; feedforward neural network; iterative formula; least mean square method; Convergence; Cost function; Feedforward systems; Iterative algorithms; Mechatronics; Multiaccess communication; Multiuser detection; Neural networks; Paper technology; Transfer functions; blind multi-user detection algorithm; cost function; neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on

Conference_Location

Zhangjiajie, Hunan

Print_ISBN

978-0-7695-3583-8

Type

conf

DOI

10.1109/ICMTMA.2009.92

Filename

5203473