Infinera Corporation

Alexander Kaganov

Stanley H Blakey

Sandy Thomson

Yuejian Wu

A system is to receive a word on which to perform error correction; obtain segments, from the word, each segment including a respective subset of samples; update, on a per segment basis, the word based on extrinsic information associated with a previous word; identify sets of least reliable positions (LRPs) associated with the segments; create a subset of LRPs based on a subset of samples within the sets of LRPs; generate candidate words based on the subset of LRPs; identify errors within the word or the candidate words; update, using the extrinsic information, a segment of the word that includes an error; determine distances between the candidate words and the updated word that includes the updated segment; identify best words associated with shortest distances; and perform error correction, on a next word, using other extrinsic information that is based on the best words.

Iterative forward error correction (FEC) on segmented words using a soft-metric arithmetic scheme

A system is configured to receive a word on which to perform forward error correction; identify least reliable positions that correspond to encoded bits, within the word, associated with a lowest level of reliability; generate candidate words based on different combinations of inverted encoded bits; identify a pair of candidate words that includes a candidate word and another candidate word, the candidate word includes an inverted most reliable bit of the encoded bits within the candidate word; identify a quantity of errors within the candidate word; determine whether the quantity of errors corresponds to an odd value; invert a parity bit associated with the candidate word when the quantity of errors corresponds to the odd value; select the other candidate word when the parity bit is inverted; and perform forward error correction, on the word, using the other candidate word based on selection of the other candidate word.

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Toronto, Canada

Alexander Kaganov