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A Performance Comparison of VSCA and VSDA Adaptive Equalization Algorithm using Distance Adjusted Approach in QAM Signal

QAM 신호에서 Distance Adjusted Approach를 이용한 VSCA와 VSDA 적응 등화 알고리즘의 성능 비교

  • Lim, Seung Gag (Dept. of Information and Communication, Kongju National University)
  • 임승각 (공주대학교 정보통신공학전공)
  • Received : 2014.11.03
  • Accepted : 2015.02.13
  • Published : 2015.02.28

Abstract

This paper compare the VSCA (Variable stepsize Square Contour Algorithm) and VSDA (Variable stepsize Square contour Decision directed Algorithm) adaptive equalization algorithm that is used for the minimization of the intersymbol interference which occurs in the time dispersive channel for the transmission of 16-QAM signal.. In the SCA, it is possible to compensates the amplitude and phase in the received signal that are mixed with the intersymbol interference by the constellatin dependent constant by using the 2nd order statistics of the transmitted signal. But in the VSCA and VSDA, it is possible to the improving the equalization performance by varing the stepsize using the concept of distance adjusted approach for constellation matching. We compare the performance of the VSCA and VSDA algorithm by the computer simulation. For this, the equalizer output signal constellation, residual isi, maximum distortion and MSE were used in the performace index. As a result of computer simulation, the VSCA algorithm has better than the VSDA in every performance index.

본 논문은 16-QAM 신호 전송시 시분산 채널에서 발생되는 부호간 간섭을 줄이기 위해 사용되는 적응 등화알고리즘인 VSCA (Variable stepsize Square Contour Algorithm)와 VSDA (Variable stepsize Square contour Decision directed Algorithm)의 성능 비교에 관한 것이다. SCA 에서는 송신 신호의 2차 통계치인 Constellation Dependent Constant를 이용하여 수신 신호의 진폭과 위상을 보상하지만, 이들 VSCA와 VSDA에서는 constellation matching을 위한 distance adjusted approach 개념을 이용한 step size를 변화시켜 적응 등화 성능을 더욱 개선시킨 것이다. 논문에서는 컴퓨터 시뮬레이션을 통하여 VSCA와 VSDA의 성능을 비교하였으며, 이를 위한 성능 지수로는 등화기 출력 신호 성상도, 잔류 isi양, 최대 찌그러짐 및 MSE를 사용하였다. 이들 알고리즘의 성능 비교 결과 모든 비교지수에서 VSCA 알고리즘이 VSDA보다 우월함을 확인하였다.

Keywords

References

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