한국통신학회논문지 (The Journal of Korean Institute of Communications and Information Sciences)

한국통신학회 (The Korean Institute of Commucations and Information Sciences)
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편이 확률밀도함수 사이의 거리측정 기준과 비 가우시안 잡음 환경을 위한 등화 알고리듬

Distance Measure for Biased Probability Density Functions and Related Equalizer Algorithms for Non-Gaussian Noise

  • 김남용 (강원대학교 전자정보통신공학부)
  • 투고 : 2012.09.16
  • 심사 : 2012.11.27
  • 발행 : 2012.12.28
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초록

이 논문에서는 편이된 확률밀도함수 간 거리 측정이라는 새로운 거리 측정 기준을 제안하고 이에 관련된 등화 알고리듬을 도출하여 충격성 잡음과 시변 직류 잡음이 있는 다경로 채널에 적용하였다. 이러한 비 가우시안 잡음 환경에서 시행한 시뮬레이션의 결과로부터, 제안한 알고리듬이 충격성 잡음에 강인성을 보일 뿐 아니라 시변 직류 잡음도 제거하는 탁월한 능력을 가짐을 입증하였다.

In this paper, a new distance measure for biased PDFs is proposed and a related equalizer algorithm is also derived for supervised adaptive equalization for multipath channels with impulsive and time-varying DC bias noise. From the simulation results in the non-Gaussian noise environments, the proposed algorithm has proven not only robust to impulsive noise but also to have the capability of cancelling time-varying DC bias noise effectively.

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참고문헌

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