Single-chip FEC codec LSI using iterative CSOC decoder for 10 Gb/s long-haul optical transmission systems

Seki, Kazuhiko; Mikami, K.; Baba, Masakazu; Katayama, A.; Tanaka, Hironori; Hara, Yasushi; Kobayashi, Masato; Okada, Nobuaki

doi:10.1109/cicc.2002.1012787

Cited by 7 publications

(2 citation statements)

References 3 publications

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“…The concatenated product code structures are used to obtain high NCG at an output BER of 10 −15 . The RS codes and the BCH codes are often taken as the component codes, e.g., RS-CSOC (convolutional self-orthogonal code) having an NCG of 8.3 dB [3], RS-BCH product code having an NCG of 8.67 dB, and BCH-BCH product code having an NCG of 9.24 dB [4].…”

Section: Introductionmentioning

confidence: 99%

Block Markov Superposition Transmission of BCH Codes With Iterative Erasures-and-Errors Decoders

Cai

Nie

2019

IEEE Trans. Commun.

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In this paper, we present the block Markov superposition transmission of BCH (BMST-BCH) codes, which can be constructed to obtain a very low error floor. To reduce the implementation complexity, we design a low complexity iterative sliding-window decoding algorithm, in which only binary and/or erasure messages are processed and exchanged between processing units. The error floor can be predicted by a genie-aided lower bound, while the waterfall performance can be analyzed by the density evolution method. To evaluate the error floor of the constructed BMST-BCH codes at a very low bit error rate (BER) region, we propose a fast simulation approach. Numerical results show that, at a target BER of 10 −15 , the hard-decision decoding of the BMST-BCH codes with overhead 25% can achieve a net coding gain (NCG) of 10.55 dB. Furthermore, the soft-decision decoding can yield an NCG of 10.74 dB. The construction of BMST-BCH codes is flexible to trade off latency against performance at all overheads of interest and may find applications in optical transport networks as an attractive candidate. Index TermsBCH codes, block Markov superposition transmission (BMST), forward error correction (FEC), iterative decoding, optical communication.

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Section: Introductionmentioning

confidence: 99%

Block Markov Superposition Transmission of BCH Codes With Iterative Erasures-and-Errors Decoders

Cai

Nie

2019

IEEE Trans. Commun.

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“…Therefore we will investigate the opportunity to decrease the bit error rate (BER) of a return-to-zero differential phase shift keying (RZ-DPSK) transmission over standard single mode fiber (SMF) by applying convolutional line coding [1]. The advantage of convolutional coding is (i) a low memory effort, which translates into a low gate count and low power consumption [2]), (ii) that it works on a continuous data stream and hard as well as soft decision decoding is possible. The drawback is the high code rate.…”

Section: Introductionmentioning

confidence: 99%