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Author: search.filters.author.Khittiwitchayakul, SirawitSubject: search.filters.subject.SC-LDPC codes

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    Sliding-Window Turbo Equalization and Its Reduced-Complexity Decoding Techniques
    (2022-01-01)
    Khittiwitchayakul, Sirawit
    ;
    Phakphisut, Watid
    Turbo equalization is a cooperative error-correcting approach to achieve a target bit-error rate over inter-symbol interference channels. In this paper, we proposed a new turbo equalization, called sliding-window turbo equalization (SW-TE), consisting of the Bahl-Cocke-Jelinek-Raviv detector and a spatially coupled, low-density, parity-check decoder. Moreover, the Protograph-based Extrinsic Information Transfer (P-EXIT) chart was modified to investigate the asymptotic behavior of SW-TE. Our analyses showed that SW-TE outperformed conventional turbo equalization in terms of decoding threshold. Based on the P-EXIT chart analysis, we further proposed a guideline of the reduced-complexity decoding techniques for SW-TE, eliminating unnecessary branch metric updates during turbo iterative decoding. Our simulations corroborated the analytical results, showing that SW-TE outperformed conventional turbo equalization while maintaining an acceptable level of complexity.
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    EXIT Chart Analysis of Serial Window Decoding of SC-LDPC codes
    (2019-06-01)
    Khittiwitchayakul, Sirawit
    ;
    Phakphisut, Watid
    ;
    Supnithi, Pornchai
    Spatially coupled low-density parity-check (SC-LDPC) codes can be decoded by a sliding window which can provide the lower complexity and latency than that of underlying LDPC block code (LDPC-BC) decoding. In this work, we propose to use an Extrinsic Information Transfer (EXIT) chart as an analysis tool for the window decoding of SC-LDPC code. Herein, the EXIT chart analysis is applied for both window decoding strategies like flooding and serial strategies. The analysis results show that the window decoding with serial strategy can converge faster than that of flooding strategy. The required numbers of decoding iteration can be reduced greatly without the performance degradations.