Paper
9 February 2024 Research on spatial-temporal data fusion algorithm of sensors
Ting Li
Author Affiliations +
Proceedings Volume 13073, Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023); 130730Y (2024) https://doi.org/10.1117/12.3026624
Event: Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023), 2023, Changsha, China
Abstract
In order to receive the habitus accurately and the reorganization and the decision information of the object fully, the spatial and temporal fusion must be taken into account. The algorithm adopts the high real-time Kalman filter algorithm fuses the data in wireless sensor network according to time series. Based on temporal data fusion, according to the spatial distribution characteristics, the multi-sensor data fusion is further carried out at the gateway layer according to the weight. According to the characteristics of different position errors changing in real time, the gateway layer uses spatial data, the adaptive weighting algorithm is used to dynamically adjust the weight of each node.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Ting Li "Research on spatial-temporal data fusion algorithm of sensors", Proc. SPIE 13073, Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023), 130730Y (9 February 2024); https://doi.org/10.1117/12.3026624
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KEYWORDS
Data fusion

Sensors

Signal filtering

Error analysis

Sensor networks

Data processing

Data modeling

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