• Title/Summary/Keyword: SOVA

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A Study on Symbol-based Decoding for Turbo Codes (심볼 단위로 복호화가 이루어지는 터보부호에 관한 연구)

  • 김태국;심용걸
    • Proceedings of the IEEK Conference
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    • 2001.06a
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    • pp.273-276
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    • 2001
  • In this thesis we propose symbol-based decoding for turbo codes which is used SOVA as a decoding algorithm. The proposed turbo codes that is interleaved on symbol-by-symbol basis and inputted as n-bit symbols to the decoder. This method makes that the stages of the original trellis are merged together and the trellis depth is reduced by 1/n. We research turbo codes with symbol size n=2 in this paper and its performance.

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Turbo Coded OFDM Scheme for a High-Speed Power Line Communication (고속 전력선 통신을 위한 터보 부호화된 OFDM)

  • Kim, Jin-Young;Koo, Sung-Wan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.1
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    • pp.141-150
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    • 2010
  • In this paper, performance of a turbo-coded OFDM system is analyzed and simulated in a power line communication channel. Since the power line communication system typically operates in a hostile environment, turbo code has been employed to enhance reliability of transmitted data. The performance is evaluated in terms of bit error probability. As turbo decoding algorithms, MAP (maximum a posteriori), Max-Log-MAP, and SOVA (soft decision viterbi output) algorithms are chosen and their performances are compared. From simulation results, it is demonstrated that Max-Log-MAP algorithm is promising in terms of performance and complexity. It is shown that performance is improved 3dB by increasing the number of iterations, 2 to 8, and interleaver length of a turbo encoder, 100 to 5000. The results in this paper can be applied to OFDM-based high-speed power line communication systems.

A Study of MAP Architecture Adopting the Sliding Window Method for Turbo Decoding (터보 복호를 위한 슬라이딩 윈도우 방식을 적용한 MAP 구조에 관한 연구)

  • Choi, Goang-Seog
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.5A
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    • pp.426-432
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    • 2007
  • The MAP algorithm is designed and implemented through the sliding window method for turbo decoding. First, the implementation issues, which are the length of the sliding window and the normalization method of state metrics are reviewed, and their optimal values are obtained by the simulation. All component schemes of the decoder including the branch metric evaluator are also presented. The proposed MAP architecture can be easily redesigned according to the size of sliding window, that is, sub-frame length because of its simplicity on buffer control.

Performance Improvement Using Iterative Two-Dimensional Soft Output Viterbi Algorithm Associated with Noise Filter for Holographic Data Storage Systems

  • Nguyen, Dinh-Chi;Lee, Jaejin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39A no.3
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    • pp.121-126
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    • 2014
  • Demand of the data storage becomes more and more growing. This requests the next generation of storage devices to have the dominated storage capability associated with superfast read/write rate. Holographic data storage (HDS) is investigated for a long time and is considered to be a candidate for the future storage system. However, it has two-dimensional intersymbol interference that conventional one-dimensional detection solutions have not yet handled strictly because of the complexity level of system as well as the cost. We propose a new scheme that combines iterative soft output Viterbi algorithm with noise filter for improving the bit error rate performance of HDS.

Turbo Coded OFDM Scheme for a High-Speed Power Line Communication (고속 전력선통신 시스템의 터보 부호화)

  • Lee, Jae-Sun;Kim, Yo-Cheol;Kim, Jung-Hui;Kim, Jin-Young
    • 한국정보통신설비학회:학술대회논문집
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    • 2009.08a
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    • pp.190-196
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    • 2009
  • In this paper, performance of a turbo-coded OFDM system is analyzed and simulated in a power line communication channel. Since the power line communication system typically operates in a hostile environment, turbo code has been employed to enhance reliability of transmitted data. The performance is evaluated in terms of bit error probability. As turbo decoding algorithms, MAP (maximum a posteriori), Max-Log-MAP, and SOVA (soft decision Viterbi output) algorithms are chosen and their performances are compared. From simulation results, it is demonstrated that Max-Log-MAP algorithm is promising in terms of performance and complexity. It is shown that performance is substantially improved by increasing the number of iterations and interleaver length of a turbo encoder. The results in this paper can be applied to OFDM-based high-speed power line communication systems.

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