GAN-based Cyclostationary Noise Generator for Narrowband Powerline Communication Systems
Journal
ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems: 5G Dream to Reality, Proceeding
Date Issued
2021
Author(s)
Abstract
Conventionally, mathematical models are used to generate noise traces. However, those approaches may lose some details during the modeling processes. A generative adversarial network (GAN) has recently attracted researchers' attention due to its excellent capability to generate indistinguishable data. This paper modified the SpecGAN by learning the phase information into the SpecGAN, called Phase-learned SpecGAN. The effectiveness of the proposed method is evaluated by generating cyclostationary noise, which is the dominant impulse source that existed in the narrowband powerline communication (NB-PLC) systems. ? 2021 IEEE.
Subjects
Cyclostationay noise
Generative adversarial network (GAN)
Narrowband powerline communication (NB-PLC)
SpecGAN
Generative adversarial networks
Cyclostationary noise
Generative adversarial network
Modeling process
Narrow bands
Narrowband powerline communication
Network-based
Power line communication system
Power line communications (PLC)
Carrier transmission on power lines
Type
conference paper