This method predicts UAV positions in air defense contexts, suggesting improvements in mobile detection systems.
This study proposes a method for determining the spatial coordinates of a Shahed-type enemy UAV using 3D trilateration from three fixed ground observers with known locations. By measuring distances to the UAV at discrete time intervals, its flight trajectory is reconstructed. The analysis shows the UAV follows a uniform, curvilinear path with steady angular velocity and descending altitude, modeled through parametric equations. This allows accurate prediction of future positions and identification of an optimal interception point. The method ensures high spatial precision, supporting air defense operations even under conditions of signal loss or complex terrain. The results are particularly relevant for improving mobile detection and response systems in modern warfare contexts, such as in Ukraine.
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Fostiak et al. (2025) studied this question.
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