UWB, TOF and PSO based 3D positioning optimization techniques

Fei Wang; Li Wang; Jili Yu; Yan Wang; Haitao Sun; Xiaodong Yang

doi:10.1117/12.3010571

20 October 2023 UWB, TOF and PSO based 3D positioning optimization techniques

Fei Wang, Li Wang, Jili Yu, Yan Wang, Haitao Sun, Xiaodong Yang

Proceedings Volume 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023); 128140N (2023) https://doi.org/10.1117/12.3010571
Event: Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 2023, Chongqing, China

Abstract

This thesis presents an optimization technique for 3D positioning based on ultra-wideband (UWB), time-of-flight (TOF) and particle swarm optimization (PSO). The technique uses UWB technology to achieve wireless communication of the positioning system and TOF measurements to calculate the distance between the target and anchor nodes. The measurement data is then optimized using PSO algorithms to improve the accuracy and precision of positioning. Experimental results show that the technique is able to achieve highly accurate 3D positioning with positioning errors within the centimeter level. The technique has high positioning accuracy, real-time and stability, and is suitable for 3D positioning applications in both indoor and outdoor environments.

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

Citation Download Citation

Fei Wang, Li Wang, Jili Yu, Yan Wang, Haitao Sun, and Xiaodong Yang "UWB, TOF and PSO based 3D positioning optimization techniques", Proc. SPIE 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 128140N (20 October 2023); https://doi.org/10.1117/12.3010571

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