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영확률 최대화에 근거한 결정궤환 등화

Decision Feedback Equalizer based on Maximization of Zero-Error Probability

  • 김남용 (강원대학교 공학대학 전자정보통신공학부)
  • 투고 : 2011.03.11
  • 심사 : 2011.07.19
  • 발행 : 2011.08.31

초록

이 논문에서는 심각한 다중경로 페이딩 왜곡과 충격성 잡음을 극복하기 위해 결정궤환 구조를 갖추고 오차의 영확률을 최대화하는 비선형 알고리듬(MZEP-DF)를 제안하였다. 제안된 MZEP-DF 알고리듬은 충격성 잡음에 강인성을 보였고 궤환구조 영역에서 잔여 심볼간 간섭을 제거하는 능력을 보였다. 기존 LMS 알고리듬이 정상상태 오차 전력에 대해 -3 dB 이하로 수렴하지 못했던 심각한 다중경로 페이딩과 충격성 잡음 환경에 대해 제안한 알고리듬은 선형 MZEP 알고리듬과 비교하였을 때, 10 dB 이상 성능향상을 보였다.

In this paper, a nonlinear algorithm that maximizes zero-error probability (MZEP) with decision feedback (DF) is proposed to counteract both of severely distorted multi-path fading effect and impulsive noise. The proposed MZEP-DF algorithm has shown the immunity to impulsive noise and the ability of the feedback filter section to cancel the remaining intersymbol interference as well. Compared with the linear MZEP algorithm, it yields above 10 dB enhancement of steady state MSE performance in severely distorted multipath fading channels with impulse noise where the least mean square (LMS) algorithm does not converge below -3dB of MSE.

키워드

참고문헌

  1. S. Haykin, Adaptive Filter Theory. Prentice Hall. 4-th edition, 2001.
  2. J. Principe, D. Xu and J. Fisher, Information Theoretic Learning in : S. Haykin, Unsupervised Adaptive Filtering, Wiley, (New York, USA), 2000, pp.265-319.
  3. K. Jeong, J. Xu, D. Erdogmus, and J. Principe, "A new classifier based on information theoretic learning with unlabeled data," Neural Networks, Vol.18, 2005, pp.719-726. https://doi.org/10.1016/j.neunet.2005.06.018
  4. M. Lazaro, I. Santamaria, D. Erdogmus, K. Hild II, C. Pantaleon and J. Principe, "Stochastic blind equalization based on pdf fitting using Parzen estimator", IEEE Trans. Signal Processing, Vol.53, No.2, Feb. 2005, pp.696-704. https://doi.org/10.1109/TSP.2004.840767
  5. N. Kim, K. Jeong, and L. Yang, "Maximization of zero-error probability for adaptive channel equalization," Journal of communications and networks, Vol.12, No.5, Oct. 2010. pp.459-465. https://doi.org/10.1109/JCN.2010.6388491
  6. D. Erdogmus, and J. Principe, "An Entropy Minimization algorithm for Supervised Training of Nonlinear Systems," IEEE Trans. Signal Processing, Vol.50, July, 2002, pp.1780-1786. https://doi.org/10.1109/TSP.2002.1011217
  7. J. Proakis, Digital Communications, McGraw -Hill, 2nd edition,1989.
  8. B. Aazhang and H. Poor, "Performance of DS/CDMA communications in impulsive channels-Part II: Hard-limiting correlation receivers," IEEE Trans. Comm., Vol.36, Jan. 1988, pp.88-97. https://doi.org/10.1109/26.2732
  9. S. Miyamoto, M. Katayama and N. Morinaga, "Receiver design using the dependence between quadrature components of impulsive radio noise," IEICE Trans. Comm., Vol.J77-B-II, Feb. 1994, pp.63-73.