Modeling and simulation of multi-source signal navigation and location algorithm based on Kalman filtering

Chaohui Liu; Taihui Liu; Guangtong Tan; Wei Zhang

doi:10.1117/12.3003966

11 October 2023 Modeling and simulation of multi-source signal navigation and location algorithm based on Kalman filtering

Chaohui Liu, Taihui Liu, Guangtong Tan, Wei Zhang

Author Affiliations +

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 1280010 (2023) https://doi.org/10.1117/12.3003966
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

With the increasing variety of position sensors involved in navigation and positioning technology, the advantages and disadvantages of each sensor collecting data coexist, and relying solely on a single sensor to provide information cannot meet the requirements of actual navigation. This paper uses Kalman filtering technology to preprocess the position information collected by GNSS sensors, visual sensors, and inertial sensors, and calculates relative error and root mean square error to judge the confidence and accuracy of the pre-processing. Then, the filtered data is fused by introducing an optimal weighted fusion estimation algorithm, and the simulation results of the algorithm are analyzed and discussed.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chaohui Liu, Taihui Liu, Guangtong Tan, and Wei Zhang "Modeling and simulation of multi-source signal navigation and location algorithm based on Kalman filtering", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 1280010 (11 October 2023); https://doi.org/10.1117/12.3003966

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