发明名称 DECODING METHOD AND DECODER
摘要 Embodiments of the present invention relate to the field of communications, and provide a decoding method and a decoder, which are used to reduce decoding complexity. The method includes: receiving a to-be-decoded signal; performing region decision on the to-be-decoded signal according to a region decision rule formed by S region decision formulas, to acquire a region decision result; acquiring N constellation points according to the decision result, where the N constellation points are separately constellation points that are in the N subsets and that are closest to the to-be-decoded signal; acquiring N non-encoded bits corresponding to the N constellation points, and branch metrics between the to-be-decoded signal and the N constellation points; and performing Viterbi decoding based on the branch metrics and the N non-encoded bits, and outputting a decoding result corresponding to the to-be-decoded signal. The present invention is applicable to a signal decoding scenario.
申请公布号 US2016080112(A1) 申请公布日期 2016.03.17
申请号 US201514954248 申请日期 2015.11.30
申请人 Huawei Technologies Co., Ltd. 发明人 Zhang Lijia;Huang Yuanda
分类号 H04L1/00 主分类号 H04L1/00
代理机构 代理人
主权项 1. A decoding method, comprising: receiving a to-be-decoded signal; performing region decision on the to-be-decoded signal according to a region decision rule formed by S region decision formulas, to acquire a region decision result, wherein S is a positive integer less than the total number of constellation points comprised in N subsets that are used as a basis for generating the to-be-decoded signal at an encoding end, N is a positive integer greater than 1, every two constellation points in each subset are separately located in two different regions that are divided by using at least one decision formula in the S region decision formulas, and constellation points in the constellation diagram are divided into N subsets; acquiring N constellation points according to the decision result, wherein the N constellation points are separately constellation points that are in the N subsets and closest to the to-be-decoded signal; acquiring N non-encoded bits corresponding to the N constellation points, and branch metrics between the to-be-decoded signal and the N constellation points; and performing Viterbi decoding based on the branch metrics and the N non-encoded bits, and outputting a decoding result corresponding to the to-be-decoded signal.
地址 Shenzhen CN