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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2006.12
- 수록면
- 1,689 - 1,699 (11page)
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초록· 키워드
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A nonlinear channel blind equalizer by using a hybrid genetic algorithm, which merges a genetic algorithm with simulated annealing, and a RBF network is presented. In this study, a hybrid genetic algorithm is used to estimate the output states of a nonlinear channel, based on the Bayesian likelihood fitness function, instead of the channel parameters. From these estimated output states, the desired channel states of the nonlinear channel are derived and placed at the center of a REF equalizer to reconstruct transmitted symbols. In the simulations, binary signals are generated at random with Gaussian noise. The performance of the proposed method is compared with those of a conventional genetic algorithm (GA) and a simplex GA, and the relatively high accuracy and fast convergence of the method are achieved.
목차
ABSTRACT
1. INTRODUCTION
2. NONLINEAR CHANNEL EQUALIZATION USING RBF NETWORKS
3. DESIRED CHANNEL STATES AND CHANNEL OUTPUT STATES
4. GASA WITH BAYESIAN FITNESS FUNCTION
5. SIMULATION RESULTS AND PERFORMANCE ASSESSMENTS
6. CONCLUSIONS
7. REFERENCES
참고문헌 (22)
참고문헌 신청
1. [학술지(정기간행물)] - E. Biglieri / 1984 / Adaptive cancellation of nonlinear intersymbol interference for voiceband data transmission / Selected Areas Commun SAC-2 (5) : 765 ~ 777
2. [단행본] - J. G. Proakis / 2001 / Digital Communications Fourth Edition / McGraw-Hill New York
3. [인터넷자원] - X. R. Cao / / Blind equalization with a linear feedforward neural network
4. [학술지(정기간행물)] - E. Serpedin / 1998 / Blind channel identification and equalization with modulation induced cyclostationarity / Siganl Processing 46 : 1930 ~ 1944
5. [학술지(정기간행물)] - Y. Fang / 1999 / Linear neural network based blind equalization / Siganl Processing 76 : 37 ~ 42
2. [단행본] - J. G. Proakis / 2001 / Digital Communications Fourth Edition / McGraw-Hill New York
3. [인터넷자원] - X. R. Cao / / Blind equalization with a linear feedforward neural network
4. [학술지(정기간행물)] - E. Serpedin / 1998 / Blind channel identification and equalization with modulation induced cyclostationarity / Siganl Processing 46 : 1930 ~ 1944
5. [학술지(정기간행물)] - Y. Fang / 1999 / Linear neural network based blind equalization / Siganl Processing 76 : 37 ~ 42
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