Identification of Wireless Communication Signals Based on Cumulants and Wigner-Vile Distribution
Zhaoyang Yang, Dong Wei, Weiqing Huang · 2019 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) · 2019
In order to improve the recognition effect of wireless communication signal under non-cooperative conditions, the electromagnetic fingerprint sets representing the differences of wireless signals are constructed by combining high-order cumulants and Wigner-Power Distribution (WVD). Meanwhile the Fisher discriminant criterion method is introduced to evaluate and refine the electromagnetic fingerprint set. The simulation results show that the proposed method can significantly improve the identification effect of wireless communication signals in specific electromagnetic space compared with a single fingerprint feature.