DOI QR코드

DOI QR Code

Performance Improvement of CCA Blind Equalization Algorithm by Adaptive Step Size

적응 스텝 크기에 의한 CCA 블라인드 등화 알고리즘의 성능 개선

  • Lim, Seung-Gag (Dept. of Information and Communication, Kongju National University)
  • 임승각 (공주대학교 정보통신공학부 정보통신공학)
  • Received : 2015.11.02
  • Accepted : 2016.02.05
  • Published : 2016.02.29

Abstract

This paper relates with the performance improvement of CCA (Compact Constellation Algorithm) equalization algorithm by adding the adaptive step size control in order to the minimization of intersymbol interference and additive noise effects that is occurs in the channel for digital radio transmissionl. In general, the fixed step size was used in order to adaptation in equalizer algorithm. But in proposed algorithm, the variable step size were adapted that is proposional to the nonlinear function of error signal for equalization. In order to show the improved equalizatation performance, the output signal constellation of equalizer, residual isi, maximum distortion, MSE and SER were used, then it were compared with the present CCA algorithm. As a result of computer simulation, the adaptive step size CCA has more better performance in the every performance index compared to the fixed step size CCA after in the steay state.

본 논문은 디지털 무선 전송시 채널에서 발생되는 부호간 간섭과 잡음의 영향을 최소화하기 위한 CCA (Compact Constellation Algorithm) 등화 알고리즘에서 적응 스텝 크기를 적용하여 이의 등화 성능 개선에 관한 것이다. 일반적으로 등화 알고리즘에서 적응을 위한 스텝 크기는 고정적으로 사용하지만, 제안 알고리즘에서는 등화를 위한 스텝 크기를 비선형 함수인 오차 신호에 비례하도록 변화시킨다. 이의 개선된 등화 성능을 보이기 위하여 등화기 출력 성상도, 잔류 isi, 최대 찌그러짐과 MSE와 SER을 적용하였으며, 이들을 고정 스텝 크기를 갖는 기존 CCA와 비교하였다. 컴퓨터 시뮬레이션의 결과 정상 상태 이후에서는 적응 스텝 방식의 CCA가 고정 스텝 방식의 CCA보다 우월함을 확인하였다.

Keywords

References

  1. Godard D.N., "Recovering equalization and carrier tracking in two-dimensional data communication systems", IEEE Trans. Com., COM-28, pp.1867-1875, Nov. 1980
  2. Z.Liyi et. al., "Variable Step-size CMA Blind Equali-zation based on Non-linear Function of Error Signal", Proc. Int. Conf. on Com. and Mobile Computing, pp.396-399, 2009.
  3. S.Abrar, "Compact Constellation Algorithm for Blind Equalization of QAM Signals", Int. Network-ing & Communication Conf. 2004, pp.170-174, 2004.
  4. M. Amin, Lin He, C. Reed, Jr, R. Malkemes, "A Modified Constant Modulus Algorithm for Adap-tive Channel Equalization for QAM Signals", IEEE Proc. of 11th Singal Processing, pp.563-566, 2001
  5. R.Mitra, T.Choubisa, "A Variable Step Size Square Contour Algorithm Based on a Novel Non-Linear Function of Error Signal", ICCom and Signal Pro., pp.336-338, 2011.
  6. S.G.Lim, "The Performance Analysis of CCA Adap-equalization Algorithm for 16-QAM Signal", Jour. of I.I.B.C., Vol.13, No.1, pp.27-34, Feb. 2013.
  7. D. S. Kang, "Performance Comparison of the CCA Adaptive Equalization Algorithm based on Compact Slice Weighting Values in 16-QAM", Jour. of I.I.B.C., Vol.13, No. 4, pp.127-133, Aug. 2013.
  8. G.Malik, A.S.Sappal, "Adaptive Equalization Algorithms : An Overview", Int. Jour. of Advanced Computer Science and Application, pp.62-67, Vol.2, No.3, March 2011