대한전자공학회논문지TC (Journal of the Institute of Electronics Engineers of Korea TC)

대한전자공학회 (The Institute of Electronics and Information Engineers)
권호 표지

신경망을 이용한 Super-RENS 시스템의 비선형 모델링

Nonlinear Modeling of Super-RENS System Using a Neural Networks

  • 서만중 (숭실대학교 정보통신전자공학부) ;
  • 임성빈 (숭실대학교 정보통신전자공학부) ;
  • 이재진 (숭실대학교 정보통신전자공학부)
  • Seo, Man-Jung (School of Electronic Engineering, Soongsil University) ;
  • Im, Sung-Bin (School of Electronic Engineering, Soongsil University) ;
  • Lee, Jae-Jin (School of Electronic Engineering, Soongsil University)
  • 발행 : 2008.03.25
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초록

최근 들어, 광 기록 저장 시스템을 위한 다양한 기록 방식들이 연구되고 있다. BD (Blue-ray Disc)나 HD-DVD (High-Definition Digital Versatile Disc) 기록 방식의 표준화가 진행된 후에 차세대 광 기록 방식에 대한 관련 업계의 초점이 모아지고 있다. 이러한 차세대 광 기록 저장 시스템 가운데 기술의 호환성이 장점인 Super-RENS (Super-Resolution Near field Structure) 기술이 유력한 후보 중 하나이다. 본 논문에서는 HOS (Higher-Order Statistics)에서 사용되는 bicoherence 테스트를 통해 Super-RENS read-out 신호의 비선형성을 분석하고, Super-RENS 시스템의 비선형 모델링을 위해 신경망을 적용하고자 한다. 본 논문에서 고려하는 모델 구조는 NARX (Nonlinear AutoRegressive eXogenous) 모델이다. 모의실험 결과, Super-RENS read-out 신호의 비선형성이 존재함을 알 수 있었고, Super-RENS 시스템의 비선형 모델링을 위해 신경망이 유용하게 활용될 수 있다는 가능성을 확인하였다.

Recently, various recording technologies are studied for optical data storage. After standardization of BD (Blue-ray Disc) and HD-DVD (High-Definition Digital Versatile Disc), the industry is looking for a suitable technology for next generation optical data storage. Super-RENS (Super-resolution near field structure) technique, which is capable of compatibility with other systems, is one of next optical data storage. In this paper, we analyze the nonlinearity of Super-RENS read-out signal through the bicoherence test, which uses HOS (Higher-Order Statistics) and apply neural networks for nonlinear modeling. The model structure considered in this paper is the NARX (Nonlinear AutoRegressive eXogenous) model. The experiment results indicate that the read-out signals have nonlinear characteristics. In addition, it verified the possibility that neural networks can be utilized for nonlinear modeling of Super-RENS systems.

키워드

참고문헌

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