CDMA Receiver Using Neural Network

Author

Kanotai, Sumeth ; Rangsanseri, Yuttapong

Author_Institution

Dept. of Telecommun., King Mongkut´´s Inst. of Technol. Ladkrabang, Bangkok

fYear

2006

fDate

Aug. 2006

Firstpage

1

Lastpage

4

Abstract

This research presents a new structure of neural network based direct sequence code division multiple access (DS-CDMA) receiver. In CDMA system, near-far problem is a major impediment for the performance of conventional detector. In this paper we propose a back-propagation neural network (BPNN) based method that has the capability to combat the near-far and multiple user interference (MUI) problems. A comparative study between the conventional match filter and the neural network receiver is carried out using numerical method simulation. It was found that the proposed neural network receiver outperform the conventional receiver

Keywords

backpropagation; code division multiple access; neural nets; radio receivers; radiofrequency interference; spread spectrum communication; BPNN; CDMA receiver; DS-CDMA receiver; MUI; back-propagation neural network; direct sequence code division multiple access; multiple user interference; AWGN; Degradation; Direct-sequence code-division multiple access; Electronic mail; Impedance; Matched filters; Multiaccess communication; Multiple access interference; Neural networks; Transmitters;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2006. APCC '06. Asia-Pacific Conference on

Conference_Location

Busan

Print_ISBN

1-4244-0574-2

Electronic_ISBN

1-4244-0574-2

Type

conf

DOI

10.1109/APCC.2006.255807

Filename

4023111