Abstract
Polar codes are regarded as a major breakthrough in modern channel coding since they are capacity-achieving using simple successive cancellation (SC) decoding. However, this is only possible with significantly large code lengths which may not be applicable for many systems. In this paper, we focus on short length polar codes and present a method which can enhance the performance of the successive cancellation decoder. For the purpose of analysis, we discuss the SC code tree and show how the proposed method can improve the performance by increasing the computational nodes in the code tree. The results quantify the achieved performance improvement over the conventional SC decoder.
| Original language | English |
|---|---|
| Title of host publication | 2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509025268 |
| DOIs | |
| State | Published - 21 Sep 2016 |
| Externally published | Yes |
Publication series
| Name | 2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2016 |
|---|
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- Polar code
- channel coding
- channel polarization
- code tree
- successive cancellation
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Signal Processing
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