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Sooyong Choi, KyunByoung Ko and Daesik Hong, "Equalization Techniques Using A Simplified Bilinear Recursive Polynomial Perceptron with Decision Feedback", IJCNN, Jun. 2001
[IEEE IJCNN]
조회 57373
Status : | Presented |
---|---|
Date : | 2001-07 |
Title : | Equalization Techniques Using A Simplified Bilinear Recursive Polynomial Perceptron with Decision Feedback |
Authors : | Sooyong Choi, KyunByoung Ko and Daesik Hong |
Conference : | IEEE International Joint Conference on Neural Networks |
Abstract : | This paper presents nonlinear blind equalization techniques using an adaptive bilinear polynomial filter. Two types of blind adaptive bilinear polynomial equalizers with reduced bilinear terms are proposed. One is a blind bilinear polynomial decision feedback equalizer using conventional constant modulus algorithm, which uses previous detected symbols. The other is a blind predictive constant modulus bilinear decision feedback equalizer, which uses error signals. In proposed equalizers, the input of the bilinear section is composed of the feedback inputs multiplied by not overall but middle parts of feedforward inputs. It can be seen by various simulations that proposed simplified blind bilinear equalizers perform better than the conventional blind decision feedback equalizer (DFE) and has almost the same performance as the conventional DFE using training sequences in a digital communication system |
URL : | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=938834 |
Sooyong Choi; Kyunbyoung Ko; Daesik Hong; , "Equalization techniques using a
simplified bilinear recursive polynomial perceptron with decision feedback,"
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference
on , vol.4, no., pp.2883-2888 vol.4, 2001
doi:
10.1109/IJCNN.2001.938834
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=938834&isnumber=20315
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