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Dithering을 이용한 QE-MMA 적응 등화 알고리즘의 Robustness 성능 개선

A Robustness Performance Improvement of QE-MMA Adaptive Equalization Algorithm based on Dithering

  • 임승각 (공주대학교 정보통신공학부 정보통신공학 전공)
  • Lim, Seung-Gag (Dept. of Information and Communication, Kongju National University)
  • 투고 : 2017.02.20
  • 심사 : 2017.06.09
  • 발행 : 2017.06.30

초록

본 논문은 채널에서 발생되는 비선형 찌그러짐에 의한 부호간 간섭을 줄이기 위하여 dithering에 의한 QE-MMA 적응 등화 알고리즘의 robustness 성능 개선에 관한 것이다. QE-MMA는 기존 SE-MMA에서 오차 신호의 크기를 power-of-two 연산을 적용하여 탭 계수 갱신시 필요한 승산을 천이로 대체하여 H/W 응용을 용이하도록 등장하였으나, 이로 인한 적응 등화 성능이 열화된다. 이를 개선하기 위하여 제안 방식인 DQE-MMA (Dithere Quantized Error-MMA)에서는 power-of-two 연산의 전 단계에서 일정한 통계 특성을 갖는 dither 신호를 부가한다. 동일한 채널과 신호대 잡음비에서 제안 방식인 DQE-MMA가 기존 QE-MMA보다 개선된 robustness 성능을 얻을 수 있음을 시뮬레이션으로 확인하였다.

This paper relates with the robustness performance improvement of QE-MMA (Quantized Error-MMA) adaptive equalization algorithm based on the dithering in order to reduce the intersymbol interference by nonlinear distortion occurs at channel. The QE-MMA was appeared for the easiness of H/W implementation in place of multiplication to shifting in the tap coefficient updates applying the power-of-two operation to the magnitude of error signal in currently SE-MMA, it's performance were degraded by this. For improving it's performance, the proposed DQE-MMA adds the dither signal which has constant statistical characteristics in the prestage of power-of-two operation. It was confirmed by simulation that the DQE-MMA gives better robustness performance than current QE-MMA in the same channel and signal to noise ratio.

키워드

참고문헌

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