International Journal of Fuzzy Logic and Intelligent Systems

  • 제2권3호
  • /
  • Pages.174-178
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  • 2002
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  • 1598-2645(pISSN)
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  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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Blind Neural Equalizer using Higher-Order Statistics

  • Lee, Jung-Sik (School of Electronic& Information Eng., Kunsan National University)
  • 발행 : 2002.12.01
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초록

This paper discusses a blind equalization technique for FIR channel system, that might be minimum phase or not, in digital communication. The proposed techniques consist of two parts. One is to estimate the original channel coefficients based on fourth-order cumulants of the channel output, the other is to employ RBF neural network to model an inverse system fur the original channel. Here, the estimated channel is used as a reference system to train the RBF. The proposed RBF equalizer provides fast and easy teaming, due to the structural efficiency and excellent recognition-capability of R3F neural network. Throughout the simulation studies, it was found that the proposed blind RBF equalizer performed favorably better than the blind MLP equalizer, while requiring the relatively smaller computation steps in tranining.

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참고문헌

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