Reduced-search guessing random additive noise decoding of polar codes

作     者：Kefan WANG Yuejun WEI Zhenyuan CHEN Huarui YIN Liping LI Wenyi ZHANG 

作者机构：Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education of ChinaAnhui University Huawei Technologies Department of Electronic Engineering and Information Science University of Science and Technology of China 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2023年第66卷第2期

页      面：283-284页

核心收录：

学科分类：0808[工学-电气工程] 07[理学] 08[工学] 070104[理学-应用数学] 081101[工学-控制理论与控制工程] 0701[理学-数学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by National Natural Science Foundation of China (Grant No. 62071002) National Key Research and Development Program of China (Grant No. 2018YFA0701603) 

摘      要：Guessing random additive noise decoding(GRAND) has attracted researchers since its introduction in [1]. For an additive noise channel with hard decision output, the algorithm checks all error patterns, and it schedules its search in descending likelihood order. Ordered reliability bit GRAND(ORBGRAND) [2] is a variant of *** soft channel output is available,