线性分组码的G RAN D算法研究OA

With the development and application of 5G communication technology,the short packet channel coding and decoding technology in high-reliability and low-latency communication scenarios has received widespread attention.Guessing Random Additive Noise Decoding(GRAND)is a universal maximum likelihood decoding algorithm.Unlike traditional decoding algorithms,the GRAND algorithm determines the transmitted codeword through noise guessing and codebook querying,and it has an efficient hardware implementation structure.This article introduces the basic principles of GRAND and its improved algorithms,analyzes the bit error rate performance of different GRAND algorithms through simulation,and provides design solutions for GRAND algorithm in 5G NR short-length Low-density Parity-Check(LDPC)code and Polarized Adjusted Convolutional(PAC)code,serving as a reference for future short code design in mobile communications.