
Research Article
Impulsive Noise Mitigation Using Hybrid Nonlinear Preprocessor and Turbo Code in OFDM-PLC System
@INPROCEEDINGS{10.1007/978-3-030-80621-7_11, author={Fikreselam Gared Mengistu and Girma Gebeyehu Amlaku}, title={Impulsive Noise Mitigation Using Hybrid Nonlinear Preprocessor and Turbo Code in OFDM-PLC System}, proceedings={Advances of Science and Technology. 8th EAI International Conference, ICAST 2020, Bahir Dar, Ethiopia, October 2-4, 2020, Proceedings, Part I}, proceedings_a={ICAST}, year={2021}, month={7}, keywords={Blanking Clipping Hybrid nonlinear preprocessor IN OFDM-PLC Turbo code}, doi={10.1007/978-3-030-80621-7_11} }
- Fikreselam Gared Mengistu
Girma Gebeyehu Amlaku
Year: 2021
Impulsive Noise Mitigation Using Hybrid Nonlinear Preprocessor and Turbo Code in OFDM-PLC System
ICAST
Springer
DOI: 10.1007/978-3-030-80621-7_11
Abstract
Power-line communication (PLC) reuses electric signal carrying power-lines to carry information bearing signals. Since PLC channels are primarily designed to carry low frequency electric signal, they pose harsh conditions for transmission of high frequency communication signals. Impulsive noise (IN) and frequency selective fading, due to multipath characteristic of PLC channels, are the primary challenges in PLC. Orthogonal frequency division multiplexing (OFDM) is successful in reducing the effect of both challenges up to a certain level of noise energy in the system, beyond which it needs to be augmented by other mitigation techniques to reduce error, which is primarily caused by IN. In this paper, Turbo codes and hybrid nonlinear preprocessors are proposed to be applied together to combat IN in OFDM-PLC systems. Error performance of an OFDM-PLC system with the proposed scheme applied is investigated for various levels of PLC channel impulsiveness. It is found that Turbo code plus hybrid preprocessors achieve better error performance than previously applied IN mitigation techniques of Turbo code plus blanking and Turbo code plus clipping nonlinear preprocessors.