Multi-Level Fusion Indoor Positioning Technology Considering Credible Evaluation Analysis
-
Published:2023-01-06
Issue:2
Volume:15
Page:353
-
ISSN:2072-4292
-
Container-title:Remote Sensing
-
language:en
-
Short-container-title:Remote Sensing
Author:
Huang Lu, Yu Baoguo, Du Shitong, Li Jun, Jia Haonan, Bi JingxueORCID
Abstract
Aiming at the problems of the low robustness and poor reliability of a single positioning source in complex indoor environments, a multi-level fusion indoor positioning technology considering credible evaluation is proposed. A multi-dimensional electromagnetic atlas including pseudolites (PL), Wi-Fi and a geomagnetic field is constructed, and the unsupervised learning model is used to sample in the latent space to achieve a feature-level fusion positioning. A location credibility evaluation method is designed to improve the credibility of the positioning system through a multi-dimensional data quality evaluation and heterogeneous information auxiliary constraints. Finally, a large number of experiments were carried out in the laboratory environment, and, finally, about 90% of the positioning error was better than 1 m, and the average positioning error was 0.56 m. Compared with several relatively advanced positioning methods (Inter-satellite CPDM/Epoch-CPDS/Z-KPI) at present, the average positioning accuracy is improved by about 56%, 83.5% and 82.9%, respectively, which verifies the effectiveness of the algorithm. To verify the effect of the proposed method in a practical application environment, the proposed positioning system is deployed in the 2022 Winter Olympics venues. The results show that the proposed method has a significant improvement in the positioning accuracy and continuity.
Funder
National Key Research and Development Program of China National Natural Science Foundation of China
Subject
General Earth and Planetary Sciences
Reference37 articles.
1. Huang, L., Li, H., Yu, B., Gan, X., Wang, B., Li, Y., and Zhu, R. (2020). Combination of smartphone MEMS sensors and environmental prior information for pedestrian indoor positioning. Sensors, 20. 2. Alarifi, A., Al-Salman, A., Alsaleh, M., Alnafessah, A., Al-Hadhrami, S., Al-Ammar, M.A., and Al-Khalifa, H.S. (2016). Ultra wideband indoor positioning technologies: Analysis and recent advances. Sensors, 16. 3. Ijaz, F., Yang, H.K., Ahmad, A.W., and Lee, C. (2013, January 27–30). Indoor positioning: A review of indoor ultrasonic positioning systems. Proceedings of the 2013 15th International Conference on Advanced Communications Technology (ICACT), PyeongChang, Korea. 4. Indoor location based services challenges, requirements and usability of current solutions;Basiri;Comput. Sci. Rev.,2017 5. Billa, A., Shayea, I., Alhammadi, A., Abdullah, Q., and Roslee, M. (2020, January 9–11). An overview of indoor localization technologies: Toward IoT navigation services. Proceedings of the 2020 IEEE 5th International Symposium on Telecommunication Technologies (ISTT), Shah Alam, Malaysia.
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|