Gaussian Sum Approximation을 기반으로 한 Kalman filter의 수직자기 채널 등화기법

Perpendicular Magnetic Recording Channel Equalization Based on Gaussian Sum Approximation of Kalman Filters

  • 공규열 (연세대학교 전기전자공학과) ;
  • 조현민 (연세대학교 전기전자공학과) ;
  • 최수용 (연세대학교 전기전자공학과)
  • Kong, Gyu-Yeol (School of Electrical and Electronic Engineering Yonsei University) ;
  • Cho, Hyun-Min (School of Electrical and Electronic Engineering Yonsei University) ;
  • Choi, Soo-Yong (School of Electrical and Electronic Engineering Yonsei University)
  • 발행 : 2008.06.18

초록

A new equalization method for perpendicular magnetic recording channels is proposed. The proposed equalizer incorporates the Gaussian sum approximation into a Kalman filtering framework to mitigate inter-symbol interference in perpendicular magnetic recording systems. The proposed equalizer consists of a bank of linear equalizers using the Kalman filtering algorithm and its output is obtained by combining the outputs of linear equalizers through the Gaussian sum approximation.

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