Abstract
The performance of power line communication (PLC) systems suffer mainly from non-Gaussian noise, commonly referred to as impulsive noise. To reduce the effect of this noise, various channel coding techniques have been studied in the literature over PLC channels. Unlike existing works, in this paper we investigate the performance and robustness of polar codes over impulsive noise PLC channels for different codeword lengths and noise scenarios in orthogonal frequency division multiplexing (OFDM) systems. In particular, insightful comparisons between hard decision (HD) decoding and soft decision (SD) decoding for the proposed system are made. Furthermore, we investigate the blanking and clipping techniques with polar codes for impulsive noise mitigation. In addition, for the sake of comparison, results for LDPC coding are also presented. The results show that polar codes can considerably improve the performance of PLC systems. It will also be demonstrated that SD decoding offers better performance than HD decoding and that as the codeword length is increased, the performance can be further improved.
| 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
- Impulsive noise
- orthogonal frequency division multiplexing (OFDM)
- polar codes
- power line communications (PLC)
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Signal Processing
Fingerprint
Dive into the research topics of 'Polar codes based OFDM-PLC systems in the presence of middleton class-A noise'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver