A Radio Grid Monitoring Method Based on Independent Component Analysis with Empirical Mode Decomposition Denoising
Jingshu Zhang, Yue Yu, Dou Li, Yang Yan-jun, Yuping Zhao · 2018
Due to the rapid development of wireless communication networks, electromagnetic environment are becoming much more intricate. Traditional radio monitoring systems are facing challenges. Grid monitoring is considered to be a promising architecture for monitoring systems. However, the layouts and corresponding signal processing methods of the grid monitoring systems are needed to be studied. In this paper, we propose a novel two-layer overlapping structure for grid monitoring systems, and apply Independent Component Analysis (ICA) as a competitive blind source separation algorithm. Empirical Mode Decomposition (EMD) is introduced to denoise the monitored signals. A complete processing procedure of monitored signals is implemented. Simulation based on Matlab software is conducted to verify the performance of the proposed scheme.