Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Signal Detection for Pattern Dependent Noise Channel

신호패턴 종속잡음 채널을 위한 신호검출

  • Jeon, Tae-Hyun (Electronics and Telecommunications Research Institute)
  • 전태현 (한국전자통신연구원 (ETRI))
  • Published : 2004.08.01
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Abstract

Transition jitter noise is one of major sources of detection errors in high density recording channels. Implementation complexity of the optimal detector for such channels is high due to the data dependency and correlated nature of the jitter noise. In this paper, two types of hardware efficient sub-optimal detectors are derived by modifying branch metric of Viterbi algorithm and applied to partial response (PR) channels combined with run length limited modulation coding. The additional complexity over the conventional Viterbi algorithm to incorporate the modified branch metric is either a multiplication or an addition for each branch metric in the Viterbi trellis.

고밀도의 저장기록장치 채널의 주요 신호검출 오류의 원인은 천이 지터잡음이다. 이러한 채널환경에서 최적의 신호검출기 구현을 위해서는 고도의 복잡도가 요구되는데 이는 지터잡음이 신호와 상관관계가 있고 잡음간에도 상관관계가 존재하기 때문이다. 본 논문에서는 계산량과 하드웨어 복잡도 관점에서 효율적인 두 가지 종류의 신호검출기에 대해서 설명한다. 이는 전통적인 비터비 복호기의 가지값을 변화시킨 형태이며 같은 이진데이터 값의 반복을 제한하는 부호와 함께 결합하여 일반적인 PR 채널에 적용된다 기존의 비터비 알고리즘의 복잡도와 비교하면 비터비 트렐리스에서 각각의 가지값을 계산할 때 추가적으로 하나의 곱셈기 혹은 덧셈기의 증가가 요구된다.

Keywords

References

  1. J. Moon, "Discrete-time modeling of transition noise dominant channels and study of detection performance," IEEE Trans. Magn., vol. 27, no. 6, pp. 4573-4578, Nov. 1991. https://doi.org/10.1109/20.278683
  2. A. Kavcic and J. M. F. Moura, "The Viterbi algorithm and Markov noise memory," IEEE Trans. Info. Theory, vol. 46, no. 1, pp. 291-301, Jan. 2000. https://doi.org/10.1109/18.817531
  3. M. Chen and E. Trachtenberg, "Detection for channels with transition noise," IEEE Trans. Magn., vol. 34, no. 3, pp. 750-753, May 1998. https://doi.org/10.1109/20.668081
  4. J. Caroselli, S. Altekar, P. McEwen and J. Wolf, " Improved detection for magnetic recording systems with media noise," IEEE Trans. Magn., vol. 33, no. 5, pp. 2779-2781, Sept. 1997. https://doi.org/10.1109/20.617728
  5. W. Zeng and J. Moon, "Modified Viterbi algorithm for a jitter-dominant $1-D^2$ channel," IEEE Trans. Magn., vol. 28, No. 5, pp. 2895-2897, Sept. 1997. https://doi.org/10.1109/20.179664
  6. E. Feig, "Sequence estimation for class-IV partial-response channels with jitter," IEEE Trans. Comm., vol. 38, no. 8, pp. 1181-1189, Aug. 1990. https://doi.org/10.1109/26.58751
  7. H. Thaper and A. Patel, "A class of partial response systems for increasing storage density in magnetic recording," IEEE Trans. Magn., vol. 23, no. 5, Sept. 1987.
  8. W. G. Bliss, "An 8/9 rate time-varying trellis code for high density magnetic recording," IEEE Trans. Magn., Vol. 33, No. 5, pp. 2746-2748, Sept. 1997. https://doi.org/10.1109/20.617717
  9. S. K. Nair, H. Shafiee and J. Moon, "Equalization and detection in storage channels," IEEE Trans. Magn., vol. 32, no. 5, Sept. 1996. https://doi.org/10.1109/20.538623