Noise Error Pattern Generation Based on Successive Addition-Subtraction for GRAND-MO

Ming Zhan,Zhibo Pang,Kan Yu,Jing Xu,Fang Wu,Ming Xiao

IEEE Communications Letters（2022）

引用 5|浏览5

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摘要

Guessing random additive noise decoding (GRAND) is a capacity-approaching universal algorithm. The GRAND Markov order (GRAND-MO) variant is effective to correct burst errors in a Markov chain modeled memory channel, and the core of GRAND-MO is to generate putative noise error patterns in MO effectively. For purpose of a uniform noise error pattern generation scheme of GRAND-MO, this letter propose...

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关键词

Markov processes,Wireless communication,Reliability,Maximum likelihood decoding,Complexity theory,Process control,Hardware

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