A Method for Identifying Factual Corruption of the Navigation Signal and Identifying the Interference Influence on Unmanned Aerial Vehicle Receiver

Gennady Linets, Konstantin Sagdeev, Sergey Melnikov, Mihail Isaev, Alexander Isaev

Abstract


Objectives of this article are to create a method that should identify distortion of navigation signals using supplementary information obtained whilst processing the navigation parameters in the calculator of the navigation receiver. To develop this method, a comparative evaluation of the actual data of the navigation measurements with the calculated data values and a Bayesian probabilistic approach for detecting the navigation field distortion and identifying the interference. Test of results of the developed method showed that it enables a highly reliable assessment of the state of the navigation field and, if distorted, the identification of the distortion type: normal (undistorted) condition; abnormal state: when abnormally high errors appear spasmodically in the positioning estimation within individual measuring channels of the navigation receiver; slightly distorted state leading to a slow change in positioning accuracy; active spoofing manifested in the substitution of positioning coordinates. The article provides a new method for processing navigation parameters allowing to detect the fact of the navigation fields (NF) distortion and identify the interference effect on the navigation receiver (NR) of UAV.

Keywords


Positioning; Robotic automatically autopiloted vehicle; Distortion of the navigation field; Intentional interference; Processing of navigation parameters

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