Detection of Frequency-Hopping Signals Based on Deep Neural Networks
Ziye Li, Ruifang Liu, Xuming Lin, Hang Shi · 2018
As an anti-jamming, low-intercept rate signal, the frequency hopping signal is difficult to be detected and captured because it has a short residence time on each frequency and the time of occurrence is random and uncertain. It is not easy to determine its existence with conventional reconnaissance equipment. Therefore, reconnaissance of frequency hopping signals should not use spectrum monitoring equipment, because it cannot distinguish whether the observed signal is a frequency hopping signal or a conventional communication signal that is not related to each other, and cannot be verified by other parameters than spectrum.