Application of nonlinear dynamics methods for detecting radio signals with frequency-hopping spread spectrum used in communication channels of unmanned aerial vehicles
The analysis of known approaches for radio frequency detection of communication channels of unmanned aerial vehicles (UAVs) based on the use of radio signals with frequency-hopping spread spectrum (FHSS) is carried out. It is established that in most studies methods, based on energy indicators are mainly used to detect radio signals of this type. It is indicated [21-24] that energy indicators give underestimated indicators for detecting radio signals and, thus, complicate the task of detecting them. As an alternative solution to the problem of detecting radio signals, it is proposed to use well-known methods based on nonlinear dynamics, in particular, the Hurst exponent and BDS-statistics. It is shown that the means of radio-frequency detection of UAV control channels with FHSS, which will be based on the use of the Hurst exponent, will potentially not be able to detect them. It is shown that the means of radio-frequency detection of UAV control channels with FHSS, which will be based on the use of BDS-statistics, will potentially be able to detect them. The results obtained are of rather important practical significance, as they potentially allow, with appropriate adaptation, to perform more effective radio frequency detection of UAVs using radio signals with FHSS.