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
View PDF 7 Cites 0 Cited by

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

Smart Images

  • Figure CN121878732A_ABST
    Figure CN121878732A_ABST
Patent Text Reader

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.
Need to check novelty before this filing date? Find Prior Art

Citation Information

Patent Citations

  • Offshore multi-GNSS particle swarm satellite selection method and offshore multi-GNSS particle swarm satellite selection system

    CN112415545A

  • Low earth orbit satellite switching method and device based on combination of graph theory and multi-attribute decision

    CN114449604A

  • Navigation satellite selection method based on discrete cattle herd optimization algorithm

    CN116224385A

  • Intelligent satellite selection method for autonomous integrity monitoring of advanced receiver

    CN118519174A

  • Low-orbit satellite Doppler positioning method and device

    CN119001788A