Satellite selection method, device and equipment for low-orbit satellite positioning and medium
By optimizing satellite selection for low Earth orbit (LEO) by acquiring adaptive parameters and dynamic weight allocation strategies, the problems of low satellite selection efficiency and high computational complexity in LEO satellite positioning are solved, achieving efficient and accurate satellite selection results and improving positioning accuracy and stability.
CN121878732AActive Publication Date: 2026-04-17NAT UNIV OF DEFENSE TECH
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NAT UNIV OF DEFENSE TECH
- Filing Date
- 2025-07-14
- Publication Date
- 2026-04-17
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Figure CN121878732A_ABST
Abstract
The invention relates to a satellite selection method, device and equipment for low-orbit satellite positioning and a medium. The method comprises the following steps: obtaining adaptive parameters such as alternative scheme population dimension and satellite selection quantity, and designing an alternative scheme matrix and a random step size matrix according to the adaptive parameters; and carrying out playback sampling on the alternative scheme matrix to generate an evolution matrix, and calculating an attenuation factor according to the number of iterations and the number of fitness evaluation times. A basis vector is obtained through the number of iterations, the number of evaluations and the alternative scheme matrix, and a dominant solution and a disadvantage solution are generated after the fitness of the evolution matrix is calculated. And calculating a new scheme matrix by combining a basis vector, an attenuation factor and the like, and if the fitness is better, replacing the current optimal solution. And satellite weights in the historical evolution matrix are adjusted by using a dynamic weight distribution strategy, and the scheme matrix is further optimized. And continuously carrying out iterative comparison, taking the scheme matrix with the optimal fitness as a current iterative result until the maximum number of iterations is reached, and finally outputting an optimal satellite selection scheme. By adopting the method, the satellite selection efficiency and accuracy can be improved.
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Citation Information
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