A New neural network based multiuser detector in impulse noise

J. F. Weng; S. H. Leung; W. H. Lau; G. G. Bi

doi:10.1109/ICC.1996.542255

A New neural network based multiuser detector in impulse noise

J. F. Weng
, S. H. Leung
, W. H. Lau
, G. G. Bi

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

4 Citations (Scopus)

Abstract

A new symbol by symbol multiuser detector, in the form of recurrent correlation neural network, to jointly suppress the multiple-access interference and the impulsive noise for a synchronous code-division multiple-access (CDMA) system is presented. In this detector, a sgn() function is embedded in the conventional steepest descent method to work against the impulse noise. Computer simulations illustrate that the detector has good performance against the multiple-access interference and the impulse noise. Comparison with other detectors is also given. © 1996 IEEE

Original language	English
Title of host publication	Proceedings of ICC/SUPERCOMM '96 - International Conference on Communications
Publisher	IEEE
Pages	541-545
Volume	1
ISBN (Print)	0-7803-3250-4
DOIs	https://doi.org/10.1109/ICC.1996.542255
Publication status	Published - Jun 1996
Event	1996 IEEE International Conference on Communications (ICC'96) - Dallas, TX, United States Duration: 23 Jun 1996 → 27 Jun 1996

Conference

Conference	1996 IEEE International Conference on Communications (ICC'96)
Place	United States
City	Dallas, TX
Period	23/06/96 → 27/06/96

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@inproceedings{6e9d1f7436a3496a9c19450f614c3e8f,

title = "A New neural network based multiuser detector in impulse noise",

abstract = "A new symbol by symbol multiuser detector, in the form of recurrent correlation neural network, to jointly suppress the multiple-access interference and the impulsive noise for a synchronous code-division multiple-access (CDMA) system is presented. In this detector, a sgn() function is embedded in the conventional steepest descent method to work against the impulse noise. Computer simulations illustrate that the detector has good performance against the multiple-access interference and the impulse noise. Comparison with other detectors is also given. {\textcopyright} 1996 IEEE ",

author = "Weng, \{J. F.\} and Leung, \{S. H.\} and Lau, \{W. H.\} and Bi, \{G. G.\}",

year = "1996",

month = jun,

doi = "10.1109/ICC.1996.542255",

language = "English",

isbn = "0-7803-3250-4",

volume = "1",

pages = "541--545",

booktitle = "Proceedings of ICC/SUPERCOMM '96 - International Conference on Communications",

publisher = "IEEE",

address = "United States",

note = "1996 IEEE International Conference on Communications (ICC'96) ; Conference date: 23-06-1996 Through 27-06-1996",

}

A New neural network based multiuser detector in impulse noise. / Weng, J. F.; Leung, S. H.; Lau, W. H. et al.
Proceedings of ICC/SUPERCOMM '96 - International Conference on Communications. Vol. 1 IEEE, 1996. p. 541-545.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A New neural network based multiuser detector in impulse noise

AU - Weng, J. F.

AU - Leung, S. H.

AU - Lau, W. H.

AU - Bi, G. G.

PY - 1996/6

Y1 - 1996/6

N2 - A new symbol by symbol multiuser detector, in the form of recurrent correlation neural network, to jointly suppress the multiple-access interference and the impulsive noise for a synchronous code-division multiple-access (CDMA) system is presented. In this detector, a sgn() function is embedded in the conventional steepest descent method to work against the impulse noise. Computer simulations illustrate that the detector has good performance against the multiple-access interference and the impulse noise. Comparison with other detectors is also given. © 1996 IEEE

AB - A new symbol by symbol multiuser detector, in the form of recurrent correlation neural network, to jointly suppress the multiple-access interference and the impulsive noise for a synchronous code-division multiple-access (CDMA) system is presented. In this detector, a sgn() function is embedded in the conventional steepest descent method to work against the impulse noise. Computer simulations illustrate that the detector has good performance against the multiple-access interference and the impulse noise. Comparison with other detectors is also given. © 1996 IEEE

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0029708081&origin=recordpage

U2 - 10.1109/ICC.1996.542255

DO - 10.1109/ICC.1996.542255

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0-7803-3250-4

VL - 1

SP - 541

EP - 545

BT - Proceedings of ICC/SUPERCOMM '96 - International Conference on Communications

PB - IEEE

T2 - 1996 IEEE International Conference on Communications (ICC'96)

Y2 - 23 June 1996 through 27 June 1996

ER -

A New neural network based multiuser detector in impulse noise

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