Status : Published 
Date : 1996-03 
Title : The New of Complex Backpropagation Algorithm and Its Applications: Adaptive Equalizer 
Authors : 유철우, 홍대식 
Journal : Telecommunication Review 
Abstract : To reduce intersymbol interference (ISI) due to band-limited channels in digital communication, equalization techniques are necessary. Among adaptive equalization techniques, the neural networks having powerful mapping capabilities have been used as an alternative for effectively dealing with the channel distortion, especially the nonlinear distortion. In this paper, the complex BP algorithm for the complex BPN consisting of the new node activation functions with multi-saturated output regions is proposed and analyzed by the benchmark testing. And then the complex Backpropagation Neural Networks (BPN) are proposed as nonlinear adaptive equalizers that can deal with both QAM and PSK signals of any constellation sizes (e.g., 32-QAM, 64-QAM and MPSK). The proposed complex BP equalizer (CBPE) gives, compared with the linear complex equalizers using the least mean squares (LMS) algorithm, an outstanding improvement with respect to Bit Error Rate (BER) when channel distortions are nonlinear. 
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3 [Telecommun. Review] 고은석, 주판유, 강창언, 홍대식, '주파수 선택적 페이딩 채널에서의 OFDM 시스템을 위한 주파수 다이버시티를 이용한 전송 다이버시티 기법', Aug. 2002 file Published  2002-08 
» [Telecommun. Review] 유철우, 홍대식, 'The New of Complex Backpropagation Algorithm and Its Applications: Adaptive Equalizer', Mar. 1996 file Published  1996-03 
1 [Telecommun. Review] 노상민, 조한규, 유현규, 조영보, 조면균, 홍대식, '차세대 이동통신 시스템용 순방향 MC-CDMA 링크레벨 성능 검증', June 2005 file Published  2005-06