Multi-sensor time synchronization algorithm based on Gaussian process regression

In order to address the problem of inconsistent sampling frequency and accuracy of each sensor in multi-sensor data fusion technology, the algorithm of Gaussian Process Regression (GPR) is proposed for time alignment, and in the scenario where the target motion model is uniform linear motion and uni...

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Veröffentlicht in:Journal of physics. Conference series Jg. 2290; H. 1; S. 12069 - 12075
Hauptverfasser: Yang, Quan, Zhao, XuanZhi, Zhang, Wen, Jin, WenJun
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bristol IOP Publishing 01.06.2022
Schlagworte:
Algorithms
Data integration
Gaussian process
Multisensor fusion
Physics
Time synchronization
ISSN:1742-6588, 1742-6596
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Zusammenfassung:In order to address the problem of inconsistent sampling frequency and accuracy of each sensor in multi-sensor data fusion technology, the algorithm of Gaussian Process Regression (GPR) is proposed for time alignment, and in the scenario where the target motion model is uniform linear motion and uniform turning motion, the simulation is compared and analyzed respectively. The simulation results show that the proposed algorithm can effectively improve the accuracy of time synchronization.
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2290/1/012069