Abstract
Abstract Non-linear equalization techniques using decision feedback structure are highly demanded for cancellation of intersymbol interferences occurred in severe channel environments. In this paper decision feedback structure is applied to the linear blind equalizer algorithm that is based on information theoretic learning and a randomly generated symbol set. At the decision feedback equalizer (DFE) the random symbols are generated to have the same probability density function (PDF) as that of the transmitted symbols. By minimizing difference between the PDF of blind DFE output and that of randomly generated symbols, the proposed DFE algorithm produces equalized output signal. From the simulation results, the proposed method has shown enhanced convergence and error performance compared to its linear counterpart. Key Words : Decision feedback, Blind equalization, PDF, Random symbols, ITL. * 교신저자 : 김남용(namyong@kangwon.ac.kr)접수일 11년 11월 02일 수정일 (1차 11년 12월 26일, 2차 11년 12월 29일) 게재확정일 12년 01월 05일
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