Simulation model for determining navigation field distortion and detecting of interference impact in a robotic unmanned aerial vehicle receiver

Abstract

The procedure of determining navigational parameters (NP) of a robotic unmanned aerial vehicle (UAV) using global navigation satellite system (GNSS) signals should have high degree of confidence which could be significantly lowered because of natural or intentional interference. For this reason the measured values of UAV navigational parameters will significantly differ from then acceptable values. Especially dangerous situation occurs if the magnitude of en-or exceeds acceptable values. They can be thought of as distortions or suppression (violation of integrity) of the GPS/GLONASS navigation field. The UAV control system should be promptly warned if such situation occurs. The warning must come before the next NP update, i.e. in real time. Analysis of the modern level of technology showed that known methods of NP integrity monitoring did not fully satisfy practical requirements. In some cases it is impossible to detect distortions and identify types of interference with the required accuracy. The paper presents a simulation model for detecting NP distortions and identifying interference impact. The model functions by using additional information obtained while processing parameters hi a UAV navigation receiver computer. The developed simulation model was tested using GPS tracks of the UAV navigation receiver. The results obtained were used in the Development of a robotic unmanned multirotor aircraft using a strapdown inertial navigation system project of the Federal Target Program for 2014-2020