A neural-based digital communication receiver for inter-symbol interference and white Gaussian noise channels

Sa H. Bang; Bing J. Sheu

doi:10.1109/ISCAS.1992.230636

A neural-based digital communication receiver for inter-symbol interference and white Gaussian noise channels

Sa H. Bang, Bing J. Sheu

University of Southern California

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

A neural-based network is applied to data communication receiver to investigate the feasibility of the network over intersymbol interference(ISI) and additive white Gaussian noise channel environments. With a 3-layered perceptron with either backward error propagation and extended Kalman filter training algorithms, it can be shown that it closely approximates the theoretical optimum receiver as the number of network trainings increases. The simulations are made on the network operations and error rate performance over several important parameters. Once the problem on the network training is solved the proposed data receiver is an alternative to the optimum Viterbi channel decoder.

Original language	English
Title of host publication	1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2933-2936
Number of pages	4
ISBN (Electronic)	0780305930
DOIs	https://doi.org/10.1109/ISCAS.1992.230636
State	Published - 1992
Externally published	Yes
Event	1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992 - San Diego, United States Duration: 10 05 1992 → 13 05 1992

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	6
ISSN (Print)	0271-4310

Conference

Conference	1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992
Country/Territory	United States
City	San Diego
Period	10/05/92 → 13/05/92

Bibliographical note

Publisher Copyright:
© 1992 IEEE.

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10.1109/ISCAS.1992.230636

Cite this

Bang, S. H., & Sheu, B. J. (1992). A neural-based digital communication receiver for inter-symbol interference and white Gaussian noise channels. In 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992 (pp. 2933-2936). Article 230636 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.1992.230636

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title = "A neural-based digital communication receiver for inter-symbol interference and white Gaussian noise channels",

abstract = "A neural-based network is applied to data communication receiver to investigate the feasibility of the network over intersymbol interference(ISI) and additive white Gaussian noise channel environments. With a 3-layered perceptron with either backward error propagation and extended Kalman filter training algorithms, it can be shown that it closely approximates the theoretical optimum receiver as the number of network trainings increases. The simulations are made on the network operations and error rate performance over several important parameters. Once the problem on the network training is solved the proposed data receiver is an alternative to the optimum Viterbi channel decoder.",

author = "Bang, {Sa H.} and Sheu, {Bing J.}",

note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992 ; Conference date: 10-05-1992 Through 13-05-1992",

year = "1992",

doi = "10.1109/ISCAS.1992.230636",

language = "英语",

series = "Proceedings - IEEE International Symposium on Circuits and Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992",

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Bang, SH & Sheu, BJ 1992, A neural-based digital communication receiver for inter-symbol interference and white Gaussian noise channels. in 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992., 230636, Proceedings - IEEE International Symposium on Circuits and Systems, vol. 6, Institute of Electrical and Electronics Engineers Inc., pp. 2933-2936, 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992, San Diego, United States, 10/05/92. https://doi.org/10.1109/ISCAS.1992.230636

A neural-based digital communication receiver for inter-symbol interference and white Gaussian noise channels. / Bang, Sa H.; Sheu, Bing J.
1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992. Institute of Electrical and Electronics Engineers Inc., 1992. p. 2933-2936 230636 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 6).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - A neural-based network is applied to data communication receiver to investigate the feasibility of the network over intersymbol interference(ISI) and additive white Gaussian noise channel environments. With a 3-layered perceptron with either backward error propagation and extended Kalman filter training algorithms, it can be shown that it closely approximates the theoretical optimum receiver as the number of network trainings increases. The simulations are made on the network operations and error rate performance over several important parameters. Once the problem on the network training is solved the proposed data receiver is an alternative to the optimum Viterbi channel decoder.

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Bang SH, Sheu BJ. A neural-based digital communication receiver for inter-symbol interference and white Gaussian noise channels. In 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992. Institute of Electrical and Electronics Engineers Inc. 1992. p. 2933-2936. 230636. (Proceedings - IEEE International Symposium on Circuits and Systems). doi: 10.1109/ISCAS.1992.230636

A neural-based digital communication receiver for inter-symbol interference and white Gaussian noise channels

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