Improving Soft Decoding by Spectral Leakage Reduction in Presence of Narrow Band Interference in PLC

Communications over power lines (PLC) is a promising technology for a variety of applications. The use of a single network for power and data transmission with PLC provides weight, space, and cost savings for vehicular communications. Current work focuses on broadband PLC (BPL) systems compliant wit...

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Bibliographic Details
Published in:IEEE access 2019, Vol.7, p.79491-79502
Main Authors: Martinez Marrero, Liset, Sadamori, Leyna, Dominiak, Stephen, Dersch, Ulrich, Gomez, Jorge Torres
Format: Article
Language:English
Subjects:
Background noise
Broadband
Data communication
Data transmission
Decoding
Estimation
Frame control symbol
Frequency estimation
Frequency-domain analysis
IEEE Std 1901
Interference
Leakage
Narrowband
narrowband interference
noise power spectral density estimation
Noise reduction
OFDM
Power lines
Power spectral density
Programmable logic controllers
Receivers
soft-decoding
Spectra
spectral leakage
Transceivers
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Summary:Communications over power lines (PLC) is a promising technology for a variety of applications. The use of a single network for power and data transmission with PLC provides weight, space, and cost savings for vehicular communications. Current work focuses on broadband PLC (BPL) systems compliant with the IEEE 1901 standard. Given that transmissions occur on a physical medium not designed for data communication, the channel and noise characteristics are mostly unfavorable. To deal with these conditions, turbo codes have been widely employed due to their high performance. However, their performance strongly depends on the accuracy of the noise estimation. This work addresses the estimation of the noise power spectral density (PSD) to perform soft-decoding. A general background noise (GBN) model and a narrowband interference (NBI) model is considered. To the best of our knowledge, this is the first work that analyzes the effects of the NBI leakage on noise estimation when it is performed during the reception of the data frame. We propose the use of the frame control (FC) symbol to reduce interference leakage on noise estimation. In addition, we investigate the use of payload symbols to further reduce spectral leakage. Finally, we show that system performance considerably improves by using the FC-based estimation in soft-decoding procedures.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2923148