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Design of Equalizer using Fussy Stochastic Gradient Algorithm  

Park, Hyoung-Keun (남서울대학교 전자정보통신공학부)
Ra, Yoo-Chan (남서울대학교 전자정보통신공학부)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.9, no.1, 2005 , pp. 152-159 More about this Journal
Abstract
For high-speed data communication in band-limited channels, main of the bit error are fading and ISI(Inter-Symbol Interference). The common way of dealing with ISI is using equalization in the receiver. In this thesis, channel adaptive equalizer which uses Fuzzy Stochastic Gradient(FSG) and Constant Modulus Algorithm(CMA) is nonlinear equalizer, or Blind equalizer, that works directly on the signals with no training sequences required. This equalizer employs Takagi-Sugeno's fuzzy model that uses the FSG algorithm, to automatically regulate the step size of the descent gradient vector, combining fast convergence rate and low mean square error(MSE), and the CMA which is a special case of Godard's algorithm, to having multiple dispersion constants($R_p$).
Keywords
8-VSB;
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