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영문 논문지

홈 홈 > 연구문헌 > 영문 논문지 > JICCE (한국정보통신학회)

JICCE (한국정보통신학회)

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한글제목(Korean Title) Blind linear/nonlinear equalization for heavy noise-corrupted channels
영문제목(English Title) Blind linear/nonlinear equalization for heavy noise-corrupted channels
저자(Author) Soo-Whan Han   Sung-Dae Park  
원문수록처(Citation) VOL 07 NO. 03 PP. 0383 ~ 0391 (2009. 09)
한글내용
(Korean Abstract)
영문내용
(English Abstract)
In this paper, blind equalization using a modified Fuzzy C-Means algorithm with Gaussian Weights (MFCM_GW) is attempted to the heavy noise-corrupted channels. The proposed algorithm can deal with both of linear and nonlinear channels, because it searches for the optimal channel output states of a channel instead of estimating the channel parameters in a direct manner. In contrast to the common Euclidean distance in Fuzzy C-Means (FCM), the use of the Bayesian likelihood fitness function and the Gaussian weighted partition matrix is exploited in its search procedure. The selected channel states by MFCM_GW are always close to the optimal set of a channel even the additive white Gaussian noise (AWGN) is heavily corrupted in it. Simulation studies demonstrate that the performance of the proposed method is relatively superior to existing genetic algorithm (GA) and conventional FCM based methods in terms of accuracy and speed.
키워드(Keyword) Fuzzy C-Means   Gaussian Weighted Partition Matrix   Bayesian Equalizer   Blind Equalization   Linear/Nonlinear Channel  
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