DOI QR코드

DOI QR Code

A Performance Comparison of CR-MMA and FC-MMA Adaptive Equalization Algorithm in 2 dimensional QAM Signal

2차원 QAM 신호에서 CR-MMA와 FC-MMA 적응 등화 알고리즘의 성능 비교

  • Lim, Seung-Gag (Dept. of Information and Communication, Kongju National University)
  • 임승각 (공주대학교 정보통신공학부 정보통신공학)
  • Received : 2017.11.16
  • Accepted : 2018.02.09
  • Published : 2018.02.28

Abstract

This paper compares the equalization algorithm of CR-MMA (Constellation Reduction-Multi Modulus Algorithm) and FC-MMA (Fast Convergence-Multi Modulus Algorithm) for the compensation of channel's distortion in transmitting the 2 dimensional 16-QAM signals. The CR-MMA adaptive equalizer use the error signal by reduce the nonconstant modulus signal to constant modulus signal in order to updates the tap coefficient, and the FC-MMA adptive equalizer use the error signal applying the modified dispersion constant considering the number of symbol level instead of signal point reduction. These two algorithm are known to its superior to the convergence characteristic among the MMA series equalizer. In this paper, the other equalization performance including the convergence characteristic was compared by computer simulation. As a result of computer simulation, FC-MMA has more good performance in the residual isi, maximum distortion and SER performance than CR-MMA, but not in convergence speed.

본 논문에서는 2차원 16-QAM 신호 전송시 채널에서 발생되는 찌그러짐을 보상하기 위한 CR-MMA(Constellation Reduction - Multiple Modulus Algorithm)와 FC-MMA (Fast Convergence - Multiple Modulus Algorithm) 등화 알고리즘의 성능을 비교하였다. CR-MMA 적응 등화기는 탭 계수 갱신을 위하여 nonconstant modulus 신호를 constant modulus 신호로 축소하여 오차 신호를 이용하지만, FC-MMA 적응 등화기는 신호점의 축소 대신 신호 심볼의 레벨수를 고려한 수정된 dispersion constant를 적용하여 오차 신호를 이용한다. 이들 알고리즘들은 MMA 계열중에서 수렴 특성이 우수한 것으로 알려져 있으므로, 본 논문에서는 수렴 특성을 포함한 성능을 시뮬레이션을 통해 비교하였다. 시뮬레이션 결과 FC-MMA는 출력 신호 성상도와 잔류 isi 및 최대 찌그러짐과 SER 성능이 CR-MMA보다 우월하지만, 수렴 속도가 늦어짐을 알 수 있었다.

Keywords

References

  1. J.Yang, J.J.Werner, G.A.Dumont, "The Multimodulus Blind Equalization and Its Generalized Algorithms", IEEE Journal on S.A.C., Vol.20, No.3, pp.997-1015, June 2002. DOI : 10.1109/JSAC.2002.1007381
  2. 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. DOI : 10.1109/ICIET.2007.4381307
  3. W. Rao, K.M.Yuan, Y.Guo, C.Yang, "A simple constant modulus algorithm for blind equalization suitable for 16-QAM Signal", Int. Conf on signal processing, Vol.2, pp.1963-1966, 2008. DOI : 10.1109/ICOSP.2008.4697528
  4. W. Rao, H.J.Xu et al., "Joint Blind Equalization and Detection of QAM and PAM transmission", ICMMT 2010 Proceeding, pp.1248-1251, 2010. DOI : 10.1109/ICMMT.2011.5524979
  5. W. Rao, "Amplitude Transformation-Based Blind Equalization Part 2 : Suitable for High-Order QAM Signals", Int. Conf. on Environmental Science and Information Application Technology, Vol.10, pp.1282-1286, 2011.
  6. J.S.Yoon, S.G.Lim, "The Performance of Dual Structure CR-CMA Adaptive Equalizer for 16-QAM Signal", Jour. on I.W.I.T., Vol.12, No.5, pp.107-114, Oct. 2012.
  7. S.G.Lim, "Performance Improvement of MMA Adaptive Equalization Algorithm by using the Constellation Reduction in QAM Signal", Jour. on I.W.I.T., Vol. 14, No.5, pp. 1-7, Oct. 2014.
  8. S.G.Lim, "FC-MMA Adaptive Equalization Algorithm to improve the Convergence Speed of MMA in 16-QAM System", Jour. of I.W.I.T., Vol. 14, No.1, pp.93-99. Feb. 2014.
  9. K.N.Oh, "An Algorithm for Variable Step-Size Improving Steady-State Performance of Blind Equalization", Jour. of K.I.I.T., Vol. 9, No. 10, pp.43-48, Oct. 2011