Multiuser demodulators using adaptive polynomial perceptrons in CDMA systems

Sooyong Choi; Taekyu Choi; Jaeho Roh; Kyunbyoung Ko; Daesik Hong

Multiuser demodulators using adaptive polynomial perceptrons in CDMA systems

Sooyong Choi, Taekyu Choi, Jaeho Roh, Kyunbyoung Ko, Daesik Hong

Department of Electrical and Electronic Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

The polynomial perceptron multiuser demodulator (PPMUD) and the bilinear recursive polynomial perceptron multiuser demodulator with decision feedback (BRPMUD) are applied to a digital communication system using spread spectrum. The proposed multiuser demodulators are compared with the conventional receiver, the multilayer perceptron multiuser demodulator (MLPMUD) and the radial basis function multiuser demodulator (RBFMUD) in terms of bit-error rate (BER). In order to obtain a satisfactory BER, the structure of the PPMUD is much complex and needs long trainging periods. On the other hand, the BRPMUD shows good performance and has much simpler structure than the other multiuser demodulators using neural networks.

Original language	English
Pages	746-754
Number of pages	9
Publication status	Published - 2000
Event	10th IEEE Workshop on Neural Network for Signal Processing (NNSP2000) - Sydney, Australia Duration: 2000 Dec 11 → 2000 Dec 13

Other

Other	10th IEEE Workshop on Neural Network for Signal Processing (NNSP2000)
City	Sydney, Australia
Period	00/12/11 → 00/12/13

All Science Journal Classification (ASJC) codes

Signal Processing
Software
Electrical and Electronic Engineering

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title = "Multiuser demodulators using adaptive polynomial perceptrons in CDMA systems",

abstract = "The polynomial perceptron multiuser demodulator (PPMUD) and the bilinear recursive polynomial perceptron multiuser demodulator with decision feedback (BRPMUD) are applied to a digital communication system using spread spectrum. The proposed multiuser demodulators are compared with the conventional receiver, the multilayer perceptron multiuser demodulator (MLPMUD) and the radial basis function multiuser demodulator (RBFMUD) in terms of bit-error rate (BER). In order to obtain a satisfactory BER, the structure of the PPMUD is much complex and needs long trainging periods. On the other hand, the BRPMUD shows good performance and has much simpler structure than the other multiuser demodulators using neural networks.",

author = "Sooyong Choi and Taekyu Choi and Jaeho Roh and Kyunbyoung Ko and Daesik Hong",

note = "Copyright: Copyright 2004 Elsevier Science B.V., Amsterdam. All rights reserved.; 10th IEEE Workshop on Neural Network for Signal Processing (NNSP2000) ; Conference date: 11-12-2000 Through 13-12-2000",

year = "2000",

language = "English",

pages = "746--754",

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TY - CONF

T1 - Multiuser demodulators using adaptive polynomial perceptrons in CDMA systems

AU - Choi, Sooyong

AU - Choi, Taekyu

AU - Roh, Jaeho

AU - Ko, Kyunbyoung

AU - Hong, Daesik

PY - 2000

Y1 - 2000

N2 - The polynomial perceptron multiuser demodulator (PPMUD) and the bilinear recursive polynomial perceptron multiuser demodulator with decision feedback (BRPMUD) are applied to a digital communication system using spread spectrum. The proposed multiuser demodulators are compared with the conventional receiver, the multilayer perceptron multiuser demodulator (MLPMUD) and the radial basis function multiuser demodulator (RBFMUD) in terms of bit-error rate (BER). In order to obtain a satisfactory BER, the structure of the PPMUD is much complex and needs long trainging periods. On the other hand, the BRPMUD shows good performance and has much simpler structure than the other multiuser demodulators using neural networks.

AB - The polynomial perceptron multiuser demodulator (PPMUD) and the bilinear recursive polynomial perceptron multiuser demodulator with decision feedback (BRPMUD) are applied to a digital communication system using spread spectrum. The proposed multiuser demodulators are compared with the conventional receiver, the multilayer perceptron multiuser demodulator (MLPMUD) and the radial basis function multiuser demodulator (RBFMUD) in terms of bit-error rate (BER). In order to obtain a satisfactory BER, the structure of the PPMUD is much complex and needs long trainging periods. On the other hand, the BRPMUD shows good performance and has much simpler structure than the other multiuser demodulators using neural networks.

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T2 - 10th IEEE Workshop on Neural Network for Signal Processing (NNSP2000)

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