A Blind Separation of Variable Speed Frequency Hopping Signals based on Independent Component Analysis
Miao Wang, CAI Xiao-xia, ZHU Ke-fan · 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) · 2019
In the face of the increasingly complex electromagnetic environment, the feature recognition algorithm for the blind source separation of multi-frequency hopping signals is large in computation and the separation result is inaccurate. It is proposed to use the independent component analysis method to deal with the blind separation problem of variable speed frequency hopping signals. The simulation results show that comparing with other methods,this algorithm can effectively separate multiple variable speed frequency hopping signals without any prior information. At the same time, the time domain waveform of the variable speed frequency hopping signal and the corresponding frequency hopping pattern can be accurately recovered, which provides a new solution for the blind separation problem of the variable speed frequency hopping signal.