We propose three effective approximate belief propagation decoders for polar codes using Maclaurin's series, piecewise linear function, and stepwise linear function. The proposed decoders have the better perfor-mance than that of existing approximate belief propagation polar decoders, min-sum decoder and normalized min-sum decoder, and almost the same performance with that of original belief propagation decoder. Moreover, the proposed decoders achieve such performance without any optimiza-tion process according to the code parameters and channel condition unlike normalized min-sum decoder, offset min-sum decoder, and their variants.
|Number of pages
|IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
|Published - 2017 Sept
Bibliographical notePublisher Copyright:
Copyright © 2017 The Institute of Electronics, Information and Communication Engineers.
All Science Journal Classification (ASJC) codes
- Signal Processing
- Computer Graphics and Computer-Aided Design
- Electrical and Electronic Engineering
- Applied Mathematics