Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 1999.06a
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- Pages.1037-1040
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- 1999
Communication Channel Equalization Using Adaptive Neural Net
적응 신경망을 이용한 통신 채널 등화
Abstract
This paper investigates a RBF(Radial Basis Function) equalizer for channel equalization. RBF network has an identical structure to the optimal Bayesian symbol-decision equalizer solution. Therefore RBF can be employed to implement the Bayesian equalizer. Proposed algorithm of this paper makes channel states estimation to be unncessary, also makes center number which is needed indivisual channel to be minimum. Bayesian Equalizer has the theorical optimum performance. Proposed Equalizer performance is compared with this Baysian equalizer performance.
Keywords