PDF-Distance Minimizing Blind Algorithm based on Delta Functions for Compensation for Complex-Channel Phase Distortions

복소 채널의 위상 왜곡 보상을 위한 델타함수 기반의 확률분포거리 최소화 블라인드 알고리듬

  • Kim, Nam-Yong (School of Electronics, Info. & Comm. Engineering, kangwon National University) ;
  • Kang, Sung-Jin (School of Info. Tech. Engineering, Korea University of Tech. and Educ.)
  • 김남용 (강원대학교 전자정보통신공학부) ;
  • 강성진 (한국기술교육대학교 정보기술공학부)
  • Received : 2010.08.30
  • Accepted : 2010.12.17
  • Published : 2010.12.31


This paper introduces the complex-version of an Euclidean distance minimization algorithm based on a set of delta functions. The algorithm is analyzed to be able to compensate inherently the channel phase distortion caused by inferior complex channels. Also this algorithm has a relatively small size of Gaussian kernel compared to the conventional method of using a randomly generated symbol set. This characteristic implies that the information potential between desired symbol and output is higher so that the algorithm forces output more strongly to gather close to the desired symbol. Based on 16 QAM system and phase distorted complex-channel models, mean squared error (MSE) performance and concentration performance of output symbol points are evaluated. Simulation results show that the algorithm compensates channel phase distortion effectively in constellation performance and about 5 dB enhancement in steady state MSE performance.


Complex channel;Phase distortion;Delta functions;Blind equalization;PDF-distance minimization


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