Neural Network Communication Receiver Based on the Nonlinear Filtering

Sa H. Bang; Bing J. Sheu

doi:10.1109/IJCNN.1992.226857

Neural Network Communication Receiver Based on the Nonlinear Filtering

Sa H. Bang
, Bing J. Sheu

University of Southern California

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

4 Scopus citations

Abstract

A neural-based network is applied to the data communication receiver to investigate the feasibility of the network over inter-symbol interference(ISI) and additive white Gaussian noise channel environments. With a three-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 for 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	Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	999-1004
Number of pages	6
ISBN (Electronic)	0780305590
DOIs	https://doi.org/10.1109/IJCNN.1992.226857
State	Published - 1992
Externally published	Yes
Event	1992 International Joint Conference on Neural Networks, IJCNN 1992 - Baltimore, United States Duration: 07 06 1992 → 11 06 1992

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks
Volume	2

Conference

Conference	1992 International Joint Conference on Neural Networks, IJCNN 1992
Country/Territory	United States
City	Baltimore
Period	07/06/92 → 11/06/92

Bibliographical note

Publisher Copyright:
© 1992 IEEE

Access to Document

10.1109/IJCNN.1992.226857

Cite this

Bang, S. H., & Sheu, B. J. (1992). Neural Network Communication Receiver Based on the Nonlinear Filtering. In Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992 (pp. 999-1004). (Proceedings of the International Joint Conference on Neural Networks; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.1992.226857

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title = "Neural Network Communication Receiver Based on the Nonlinear Filtering",

abstract = "A neural-based network is applied to the data communication receiver to investigate the feasibility of the network over inter-symbol interference(ISI) and additive white Gaussian noise channel environments. With a three-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 for 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 International Joint Conference on Neural Networks, IJCNN 1992 ; Conference date: 07-06-1992 Through 11-06-1992",

year = "1992",

doi = "10.1109/IJCNN.1992.226857",

language = "英语",

series = "Proceedings of the International Joint Conference on Neural Networks",

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

pages = "999--1004",

booktitle = "Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992",

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}

Bang, SH & Sheu, BJ 1992, Neural Network Communication Receiver Based on the Nonlinear Filtering. in Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992. Proceedings of the International Joint Conference on Neural Networks, vol. 2, Institute of Electrical and Electronics Engineers Inc., pp. 999-1004, 1992 International Joint Conference on Neural Networks, IJCNN 1992, Baltimore, United States, 07/06/92. https://doi.org/10.1109/IJCNN.1992.226857

Neural Network Communication Receiver Based on the Nonlinear Filtering. / Bang, Sa H.; Sheu, Bing J.
Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992. Institute of Electrical and Electronics Engineers Inc., 1992. p. 999-1004 (Proceedings of the International Joint Conference on Neural Networks; Vol. 2).

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

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AU - Sheu, Bing J.

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AB - A neural-based network is applied to the data communication receiver to investigate the feasibility of the network over inter-symbol interference(ISI) and additive white Gaussian noise channel environments. With a three-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 for 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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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1992 International Joint Conference on Neural Networks, IJCNN 1992

Y2 - 7 June 1992 through 11 June 1992

ER -

Neural Network Communication Receiver Based on the Nonlinear Filtering

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