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16-QAM 시스템에서 MMA의 수렴 속도를 개선시킨 FC-MMA 적응 등화 알고리즘

FC-MMA Adaptive Equalization Algorithm to improve the Convergence Speed of MMA in 16-QAM System

  • 임승각 (공주대학교 정보통신공학부)
  • Lim, Seung-Gag (Dept. of Information and Communication, Kongju National University)
  • 투고 : 2013.10.18
  • 심사 : 2014.02.07
  • 발행 : 2014.02.28

초록

본 논문은 16-QAM 신호 전송시 시분산 채널에서 발생되는 부호간 간섭을 경감시키기 위하여 사용되는 적응 등화 알고리즘인 MMA (Multi Modulus Algorithm) 의 수렴 특성을 더욱 개선시킨 FC-MMA (Fast Convergence-MMA)에 관한 것이다. 통신 채널의 시변 특성 및 순단과 같은 비정상적인 상황에서 적응 등화기는 신속하게 새로운 환경에 적응하여야 하며, 이를 나타내는 성능 지수로는 수렴 특성을 나타내는 잔류 isi와 최대 찌그러짐이 널리 사용되고 있다. 송신 신호로는 16-QAM을 사용하였으며, 컴퓨터 시뮬레이션을 통하여 동일한 채널 환경 하에서 FC-MMA 알고리즘이 기존의 MMA 알고리즘보다 잔류 isi는 1.75배, 최대 찌그러짐에서는 2.5배 정도의 정상 상태에 도달하기 위한 빠른 수렴 성능을 가짐을 확인하였다.

This paper deals with the FC-MMA (Fast Convergence-Multi Modulus Algorithm) which is improving the convergence characteristics of the MMA (Multiple Modulus Algorithm) adaptive equalization algorithm that is used for the minimization of the intersymbol interference which occurs in the time dispersive communication channel. In the time varying charateristics and the abnormal situation like as outage of the communication channel, the adaptive equalizer needs to adapting the new environment more rapidly. For this problem, the residual isi and the maximum distortion performance index which are meaning the convergence characteristics are widely adapted in the adaptive equalizer. The 16-QAM signal is transmitted and it was confirmed that the proposed algorithm, the FC-MMA has the fast convergence performance such as in the 1.75 times fast in residual isi and 2.5 times fast in the maximum distortion in order to reaching the steady state compare to the MMA algorithm in the same channel environment by the computer simulation.

키워드

참고문헌

  1. S.U.H.Qureshi, "Adaptive Equalization", Proc. of the IEEE 73(9), pp.1349-1387, 1985 https://doi.org/10.1109/PROC.1985.13298
  2. D.N.Godard, "Self-recovering Equalization and carrier tracking in two-dimensional data comm. system", IEEE Trans. on Comm., Vol. 28, pp.1867- 1875, Nov. 1980 https://doi.org/10.1109/TCOM.1980.1094608
  3. J.Yang, J.J.Werner, G.A.Dumont, "The multimodulus blind equalization and its generalized algorithm", IEEE J. Sel. Areas Commun., 20(5), pp.997-1015, June 2002 https://doi.org/10.1109/JSAC.2002.1007381
  4. S.A.Sheikh, P.Fan, "Fast Convergence Multimodulus Algorithm for Blind Equalization of QAM Signals", Int. Conf. on Information and Emerging Technology, pp.1-5, 2007
  5. S.Abrar, A.Zerguine, "A New Multimodulus Blind Equalization Algorithm", Int. Conf. on Networking and Communication, pp.165-169, 2004
  6. L.He, S.A.Kassam, "Convergence Analysis of Blind Equalization Algorithm Using Constellation Matching", IEEE Trans. on Communications, Vol.56, No.11, pp.1765-1768, Nov. 2008 https://doi.org/10.1109/TCOMM.2008.060370
  7. V.Weerackody, S.A.Kassam, "Convergence Analysis of an algorithm for blind equalization", IEEE Signal Proc. Letter, Vol.13, No.1, pp.37-40, Jan. 2006 https://doi.org/10.1109/LSP.2005.860544
  8. Lim S.G., "The Performance Comparison of the MMA and SCA Algorithm for Self Adaptive Equalization", Journal of I.W.I.T., Vol.12, No.2, pp.159-165, Apr. 2012 https://doi.org/10.7236/JIWIT.2012.12.2.159
  9. KH.Oh, "A Design of Error Signals Effective for Blind Equalization in Both of Initial Phase and Steady-State", Journal of K.I.I.T.,, Vol.10, No.6, pp.45-51, June 2012