High performance neural network based multiuser detector in CDMA

Author

Yoon, Sung H. ; Rao, Sathyanarayan S.

Author_Institution

Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA

Volume

4

fYear

1997

fDate

21-24 Apr 1997

Firstpage

3357

Abstract

We present a high performance neural network based multiuser detector in code division multiple access (CDMA) communications. This detector retains salient features of the annealed neural network based detector (ANNMD) and reduces its computational complexity. The BER performance of the proposed detector is close to the theoretical lower bound of the BER performance. We present a theoretical derivation of the hybrid type multiuser detector with improved hardware complexity. Extensive numerical evaluation of the proposed techniques as well as various suboptimal multiuser detectors is conducted using Monte-Carlo simulation

Keywords

Gaussian channels; Hopfield neural nets; Monte Carlo methods; access protocols; code division multiple access; coding errors; digital simulation; error statistics; signal detection; simulation; spread spectrum communication; BER performance; CDMA; Gaussian channel; Hopfield neural network; Monte-Carlo simulation; annealed neural network based detector; code division multiple access; computational complexity reduction; hardware complexity; high performance neural network; hybrid type multiuser detector; lower bound; spread spectrum communication; suboptimal multiuser detectors; Annealing; Bit error rate; Computational complexity; Detectors; Gaussian channels; Intelligent networks; Military communication; Multiaccess communication; Neural networks; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.595513

Filename

595513