An efficient multiuser detection algorithm for direct sequence code division multiple access by using neural networks

Author

Peng, Pei-Yuan

Author_Institution

United Technol. Res. Center, East Hartford, CT, USA

Volume

1

fYear

2001

fDate

11-14 Jun 2001

Firstpage

36

Abstract

Neural network based adaptive schemes for performing multiuser detection in a direct sequence spread-spectrum code division multiple access communication system are investigated. Simulation and analysis provide the good basis of understanding the advantage and disadvantage between conventional techniques and neural networks in CDMA scope. The simulation results demonstrate the great benefits of the proposed neural network receivers

Keywords

adaptive signal detection; backpropagation; code division multiple access; multiuser channels; neural nets; optimisation; radio receivers; spread spectrum communication; Alopex algorithm; DS-CDMA; DS-SS; adaptive schemes; backpropagation; direct sequence code division multiple access; direct sequence spread-spectrum communication; efficient multiuser detection algorithm; neural network receivers; optimization problem; simulation; simulation results; Backpropagation; Bandwidth; Change detection algorithms; Detectors; Direct-sequence code-division multiple access; Interference; Multiaccess communication; Multiuser detection; Neural networks; Spread spectrum communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2001. ICC 2001. IEEE International Conference on

Conference_Location

Helsinki

Print_ISBN

0-7803-7097-1

Type

conf

DOI

10.1109/ICC.2001.936268

Filename

936268