发明名称 Semiconductor memory device and decoding method
摘要 A semiconductor memory device includes a semiconductor memory unit which stores LDPC encoded data, and a decoding unit which decodes the encoded data, wherein the decoding unit performs serial decoding using the posterior likelihood ratio as it is for a column element likelihood ratio when the absolute value of the posterior likelihood ratio is not smaller than a threshold and using the column element likelihood ratio as it is for the posterior likelihood ratio when the absolute value of the column element likelihood ratio is not smaller than the threshold, and if the decoding does not succeed even after a predetermined first cycle count of iterative processing is performed or if the number of syndrome errors becomes smaller than a predetermined first syndrome error count, the decoding unit shrinks the absolute values of at least some of posterior likelihood ratios and resets all prior likelihood ratios to “0.”
申请公布号 US8751895(B2) 申请公布日期 2014.06.10
申请号 US201213569492 申请日期 2012.08.08
申请人 Kabushiki Kaisha Toshiba 发明人 Obata Haruka;Ishikawa Tatsuyuki;Uchikawa Hironori;Sakurada Kenji
分类号 H03M13/00 主分类号 H03M13/00
代理机构 代理人
主权项 1. A semiconductor memory device comprising: a semiconductor memory unit configured to store encoded data encoded with an LDPC code; and a decoding unit configured to decode the encoded data using a Min-Sum algorithm or a Modified-Min-Sum algorithm, wherein the decoding unit performs serial decoding by repeatedly performing iterative processing which includes row processing and column processing and thereby updating a posterior likelihood ratio for each row of a parity check matrix, and uses the posterior likelihood ratio as it is for a column element likelihood ratio when an absolute value of the posterior likelihood ratio is equal to or larger than a threshold and uses the column element likelihood ratio as it is for the posterior likelihood ratio when an absolute value of the column element likelihood ratio is equal to or larger than the threshold, and if the decoding does not succeed even after a predetermined first cycle count of the iterative processing is performed or if a number of syndrome errors becomes smaller than a predetermined first syndrome error count, the decoding unit shrinks absolute values of at least some of posterior likelihood ratios and resets all prior likelihood ratios to “0.”
地址 Tokyo JP
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