Explore the adequate and concise information from communication signals in terms of graphs
Document Type
Conference Proceeding
Publication Date
1-1-2016
Abstract
In this paper, a novel adequate and concise information extraction approach is explored to provide a promising alternative for manifesting the intrinsic structure of the cyclostationary signals, such as communication signals. A novel graph-based signal representation is proposed to interpret the spectral correlation function into a graph and its adjacency matrix. This graph can represent the proposed adequate and concise information about the communication signals in practice. A typical application, namely modulation classification, can be implemented using our proposed new graph-based approach. According to Monte Carlo simulation results, the proposed graph-based modulation classification method leads to the promising performance in both additive noise channels and difficult multipath fading channels, compared to other existing techniques also using the spectral correlation functions.
Publication Source (Journal or Book title)
Proceedings - IEEE Global Communications Conference, GLOBECOM
Recommended Citation
Yan, K., Wu, H., Xiao, H., & Zhang, X. (2016). Explore the adequate and concise information from communication signals in terms of graphs. Proceedings - IEEE Global Communications Conference, GLOBECOM https://doi.org/10.1109/GLOCOM.2016.7841833