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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

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

3 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
主出版物標題1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992
發行者Institute of Electrical and Electronics Engineers Inc.
頁面2933-2936
頁數4
ISBN(電子)0780305930
DOIs
出版狀態已出版 - 1992
對外發佈是
事件1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992 - San Diego, 美國
持續時間: 10 05 1992 → 13 05 1992

出版系列

名字Proceedings - IEEE International Symposium on Circuits and Systems
卷6
ISSN(列印)0271-4310

Conference

Conference1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992
國家/地區美國
城市San Diego
期間10/05/92 → 13/05/92

文獻附註

Publisher Copyright:
© 1992 IEEE.

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