Abstract
With the development of the Internet of Things, indoor positioning systems based on location services have been widely used in factories, warehouses, hospitals, smart homes, and high-security areas. However, traditional indoor positioning systems are not only expensive but also need to be improved in positioning accuracy. Therefore, this paper proposes an indoor positioning technology based on the fusion of UWB and BLE, which achieves higher positioning accuracy while reducing the cost of the positioning system, and performs the SS-TWR ranging model of UWB and the logarithmic distance path attenuation model of BLE. Analysis, the UWB ranging model based on error correction and the BLE ranging model based on segmentation parameters based on error correction are proposed, and the fusion positioning is performed using the EKF algorithm. Experiments prove that the proposed ranging model has a significant effect on the improvement of positioning performance.
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Acknowledgments
This work was supported by the Natural Science Foundation of Fujian, China (Project No. 2018J01101).
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Xia, J., Wu, Y., Du, X. (2021). Indoor Positioning Technology Based on the Fusion of UWB and BLE. In: Wang, G., Chen, B., Li, W., Di Pietro, R., Yan, X., Han, H. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2020. Lecture Notes in Computer Science(), vol 12383. Springer, Cham. https://doi.org/10.1007/978-3-030-68884-4_18
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