Multi-base-station difference-based Beidou base station site selection optimization method for canyon construction area

Through multi-base station differential technology and particle swarm algorithm, and combined with double-difference full-circumference ambiguity processing, the problems of low positioning accuracy and weak anti-interference ability of the base station at the bridge construction site are solved, and high-precision signal coverage and construction efficiency are improved in the canyon area.

CN120264289APending Publication Date: 2025-07-04TONGJI UNIV
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Patent Information

Application Number
CN202510286916.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-12
Publication Date
2025-07-04

AI Technical Summary

Technical Problem

In the optimization of base station site selection at bridge construction sites, the prior art has low positioning accuracy and weak anti-interference ability, making it difficult to achieve high-precision signal coverage and quality assurance in complex terrain such as canyon areas.

Method used

Multi-base station differential technology is used to combine double-difference full-circumference ambiguity and particle swarm algorithm, and the base station location is optimized through a random walk algorithm, and the optimal base station location is dynamically updated using the fitness value and optimization algorithm. Combined with double-difference processing, errors such as receiver clock difference and satellite clock difference are eliminated, and positioning accuracy is improved.

Benefits of technology

It realizes high-precision coverage and quality of base station signals in complex canyon terrain, ensures efficient positioning and monitoring of the construction site, and comprehensively considers environmental factors in the calculation of fitness value and iterative optimization evaluation, which improves construction efficiency and signal stability.

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Abstract

The invention relates to a canyon building area Beidou base station site selection optimization method based on multi-base station difference, and the method is characterized in that the method comprises the following steps: S1, initializing parameter setting and base station selection; s2, comparing and updating double-difference integer ambiguity; s3, calculating the fitness value of each base station, evaluating the quality of a base station signal according to the fitness value, comparing the fitness value with the fitness value of the passed best position pbest, and if the fitness value is better, updating the pbest; and comparing the fitness values of all the base stations with the fitness value of the global best position gbest, and if the fitness values are better, updating the gbest. Compared with the prior art, through the multi-base-station difference technology and the optimization algorithm, in combination with the double-difference integer ambiguity and the fitness value, optimization of site selection of the Beidou base stations in the canyon construction area is achieved. The positioning precision is improved through double-difference processing, the optimal base station position is dynamically updated through the fitness value and the optimization algorithm, the method is suitable for complex terrains, and base station signal coverage and quality are ensured.
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