The PLC Signals' Noise Mitigating Algorithm with PCA
- 10.2991/meici-17.2017.71How to use a DOI?
- Smart grids; PLC; PCA; Noise mitigation
Power Line Communication (PLC) systems suffer from too severe noise contamination in the channels. In the paper, a new scheme was proposed based on the principal components analyses(PCA) to mitigate noises in PLC channels. The scheme consists of four steps. In the first step, the PLC signal with one dimension is generalized to a data set with multiple dimensions (degrees). In order to de-correlate the new data set, generalized signals are whitened with Gaussian noises in the second step. For the uncorrelated data set, the PCA technology is applied to cancel noises in the transformed domain. As the last step, the PLC signals of interesting are recovered by applying the inverse transform matrix. The results from the simulated seismic signals and the measurements data verify the validity of the proposed scheme.
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - MingYue Zhai PY - 2017/10 DA - 2017/10 TI - The PLC Signals' Noise Mitigating Algorithm with PCA BT - Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017) PB - Atlantis Press SP - 374 EP - 379 SN - 1951-6851 UR - https://doi.org/10.2991/meici-17.2017.71 DO - 10.2991/meici-17.2017.71 ID - Zhai2017/10 ER -