Proceedings of IEEE International Symposium on Information Theory
DOI: 10.1109/isit.1997.613227
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Soft decision decoding of BCH codes using error magnitudes

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Cited by 7 publications
(8 citation statements)
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“…Nevertheless, soft BCH decoders with lower complexity can be revealed by focusing on the least reliable bits instead of the entire codeword. In 1997, a soft BCH decoding using error magnitudes to deal with the least reliable bits was developed [16]. This soft decoder collects unreliable bits for decoding.…”
Section: Anmentioning
confidence: 99%
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“…Nevertheless, soft BCH decoders with lower complexity can be revealed by focusing on the least reliable bits instead of the entire codeword. In 1997, a soft BCH decoding using error magnitudes to deal with the least reliable bits was developed [16]. This soft decoder collects unreliable bits for decoding.…”
Section: Anmentioning
confidence: 99%
“…4(a) shows that there is approximately 0.25 dB performance loss at BER in the additive white Gaussian noise (AWGN) channel as compared with the hard (255,239) BCH decoder, indicating that soft information from the AWGN channel is not sufficiently reliable. However, the soft BCH decoder based on [16] can provide 0.25 dB performance gain with soft information from a 16-state Bahl-Cocke-Jelinek-Raviv (BCJR) decoder [17], as shown in Fig. 4(b).…”
Section: Anmentioning
confidence: 99%
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“…Nevertheless, soft BCH decoders with lower complexity can be revealed by focusing on the least reliable bits instead of the whole codeword. A soft BCH decoding algorithm using error magnitudes to deal with the least reliable bits was developed in 1997 [8]. However, Fig.…”
Section: Introductionmentioning
confidence: 99%
“…For the existing soft decision algorithms, the soft BCH decoder provides either better error correcting performance or lower hardware complexity than a traditional hard BCH decoder. In this paper, a soft BCH decoder which has similar concept as [8] and enhances the correcting performance by compensating one extra error while maintaining the low hardware complexity is presented. The conventional BCH decoding contains three major steps : syndrome calculator, key equation solver, and Chien search.…”
Section: Introductionmentioning
confidence: 99%