Aiming at the problem of azimuth-only passive positioning of UAV formation in flight, this paper first establishes the polar coordinate equation, and uses the direction information to establish a model under the condition of constant Angle. Secondly, the maximum likelihood estimation method, filtering method and mathematical geometry algorithm are used to reduce the impact of errors, and the coordinates of the drone that's passively receiving the signal are obtained. At the same time, the dynamic programming model is established by observation method and iteration method to reduce the specific position of the UAV and realize the positioning of the UAV. Thirdly, genetic algorithm and hidden circle model are used to determine the deviated UAV radius in the optimal arc, and the specific position of nine UAVs uniformly distributed on the circumference is obtained. Finally, according to the filtering algorithm, the deviation can be removed to realize the effective and specific positioning of the UAV. It is found that in the formation flight of 9 UAVs based on genetic algorithm, using the hidden circle model and genetic algorithm, in addition to 2 UAVs with known serial numbers (1 center of circle), 1 UAVs with unknown serial numbers are needed to adjust the UAVs to return to the ideal position and achieve effective positioning.
Research on the Problem of Pure Azimuth Passive Location in UAV Formation Flight Based on Genetic Algorithm
29.12.2023
1450509 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch