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Improved decoding of staircase codes: the soft-aided bit-marking (SABM) algorithm

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Samenvatting

Staircase codes (SCCs) are typically decoded using iterative bounded-distance decoding (BDD) and hard decisions. In this paper, a novel decoding algorithm is proposed, which partially uses soft information from the channel. The proposed algorithm is based on marking certain number of highly reliable and highly unreliable bits. These marked bits are used to improve the miscorrection-detection capability of the SCC decoder and the error-correcting capability of BDD. For SCCs with 2-error-correcting Bose-Chaudhuri-Hocquenghem component codes, our algorithm improves upon standard SCC decoding by up to 0.30 dB at a bit-error rate (BER) of 10-7. The proposed algorithm is shown to achieve almost half of the gain achievable by a genie decoder with this structure. The increased complexity caused by bit marking and additional calls to the component BDD decoder is discussed as well. Our algorithm is also extended (with minor modifications) to product codes. The simulation results show that in this case, the algorithm offers gains of up to 0.5 dB at a BER of 10-7

Originele taal-2Engels
Artikelnummer8856224
Pagina's (van-tot)8220-8232
Aantal pagina's13
TijdschriftIEEE Transactions on Communications
Volume67
Nummer van het tijdschrift12
DOI's
StatusGepubliceerd - dec. 2019

Financiering

Manuscript received February 18, 2019; revised July 25, 2019; accepted September 24, 2019. Date of publication October 3, 2019; date of current version December 17, 2019. This work is in part supported by the NSFC Program (No. 61431003, 61821001, 61625104, and 61701155), and the Fundamental Research Funds for the Central Universities (JZ2019HGBZ0126, JZ2019HGBZ0130, PA2019GDZC0098). The work of A. Alvarado and G. Liga is supported by the Netherlands Organisation for Scientific Research (NWO) via the VIDI Grant ICONIC (project number 15685) and has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 57791). This article was presented in part at the International Symposium on Turbo Codes & Iterative Information Processing 2018, Hong Kong, China, December 2018. The associate editor coordinating the review of this article and approving it for publication was A. Graell I Amat. (Corresponding author: Yi Lei.) Y. Lei was with the State Key Laboratory of Information of Photonics and Optical Communications, Beijing University of Posts and Telecommunications (BUPT), Beijing 100876, China. She is now with the School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230009, China (e-mail: [email protected]).

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