Modeling and simulation of four point positioning in space domain

Peiye Fang; Xinyan Huang

doi:10.1117/12.3046871

27 September 2024 Modeling and simulation of four point positioning in space domain

Peiye Fang, Xinyan Huang

Proceedings Volume 13261, Tenth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024); 1326141 (2024) https://doi.org/10.1117/12.3046871
Event: 10th International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), 2024, Wuhan, China

Abstract

This paper proposes a four base station positioning system based on error compensation Chan Taylor algorithm. The system improves the accuracy and reliability of the traditional Chan Taylor algorithm in practical positioning applications by introducing an error compensation mechanism. Firstly, we analyzed the basic principles of the four base station positioning system and the positioning process of the Chan Taylor algorithm, pointing out the error problems of traditional algorithms in multipath effects and non line of sight (NLOS) environments. To overcome these challenges, we have designed an error compensation method that improves the accuracy of the positioning system by constructing an error model and performing real-time correction. The results of this study are of great significance for the design and optimization of wireless positioning systems, providing new methods and ideas for high-precision positioning in practical applications. At the same time, this paper also provides experimental basis and data support for subsequent research, and has high academic value and application prospects.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Peiye Fang and Xinyan Huang "Modeling and simulation of four point positioning in space domain", Proc. SPIE 13261, Tenth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), 1326141 (27 September 2024); https://doi.org/10.1117/12.3046871

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KEYWORDS

Error analysis

Computer simulations

Detection and tracking algorithms

Environmental sensing

Mathematical optimization

Modeling

Algorithm development

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