Multimodal Fusion of Beidou Navigation Signal in Urban Navigation Services

Navigation systems play an important role in urban navigation services, but traditional Beidou navigation signals still face problems such as low positioning accuracy and poor navigation stability in multimodal fusion. This article aimed to promote the improvement of positioning accuracy by explorin...

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Veröffentlicht in:IEEE International Conference on Power, Intelligent Computing and Systems (Online) S. 299 - 304
Hauptverfasser: Wang, Juan, Zhang, Li, He, Yifeng
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 26.07.2024
Schlagworte:
Accuracy
Algorithm Design
Beidou Navigation Signals
Classification algorithms
Data preprocessing
Multimodal Fusion Algorithms
Navigation Technology
Satellite navigation systems
Satellites
Smart transportation
Stability analysis
Switches
Urban areas
Urban Navigation Services
User experience
ISSN:2834-8567
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Zusammenfassung:Navigation systems play an important role in urban navigation services, but traditional Beidou navigation signals still face problems such as low positioning accuracy and poor navigation stability in multimodal fusion. This article aimed to promote the improvement of positioning accuracy by exploring the multimodal fusion of Beidou navigation signals in urban navigation services, in order to better meet the needs of urban navigation services. Firstly, the signal data of Beidou Navigation Satellite was collected in the article; then, through steps such as data preprocessing, error correction, and data editing, the Beidou navigation signal data processing was achieved, improving the accuracy of navigation; afterwards, the Beidou navigation signal was combined with a one-dimensional structure, and multimodal fusion of the navigation signal was achieved through concatenation, resulting in the final classification result; finally, to verify the effectiveness of Beidou navigation using the algorithm proposed in this article for signal fusion in urban navigation services, it was compared with traditional algorithms. Through experiments, it was found that the average positioning accuracy of the Beidou navigation system for 15 positions after signal fusion using the algorithm proposed in this article could reach 94.25%, while the traditional algorithm only had 82.52%. The study has demonstrated the effectiveness of multimodal fusion of Beidou navigation signals, providing more ideas for promoting the construction of urban smart transportation and urban management.
ISSN:2834-8567
DOI:10.1109/ICPICS62053.2024.10797147