Abstract
It is urgent to explore a short-time method with high accuracy for indoor high-speed mobile robot to realize accurate motion control in a positioning way with high accuracy and real-time performance in indoor environment without satellite navigation signals. After deeply studying UWB positioning mode, this paper proposes an improved single-sided two-way ranging (SS-TWR) based time of arrival (TOA) rotating update positioning system, which can shorten positioning time and improve positioning frequency due to its ranging method and least squares algorithm for polling update positioning compared to the common double-sided two-way ranging (DS-TWR) based TOA positioning method. The comparison experiment in indoor environment demonstrates that positioning error of the improved SS-TWR positioning system is lower than 20 cm and positioning refresh time is lower than 5ms.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zafari, F., Gkelias, A., Leung, K.K.: A survey of indoor localization systems and technologies. IEEE Commun. Surv. Tutorials 21(3), 2568–2599 (2019)
Bottigliero, S., Milanesio, D., Saccani, M., Maggiora, R.: A low-cost indoor real-time locating system based on TDOA estimation of UWB pulse sequences. IEEE Trans. Instrum. Meas. 70(1), 1–11 (2021)
Li, S., Li, G., Wang, L., Zhou, Y., Peng, Y., Fu, J.: A three-dimensional robust ridge estimation positioning method for UWB in a complex environment. Adv. Space Res. 12(1), 2763–2775 (2017)
Zhang, W., Zhu, X., Zhao, Z., Liu, Y., Yang, S.: High accuracy positioning system based on multistation UWB time-of-flight measurements. In: 2020 IEEE International Conference on Computational Electromagnetics (ICCEM). Singapore, pp. 268–270 (2020)
Strohmeier, M., Walter, T., Rothe, J., Montenegro, S.: Ultra-wideband based pose estimation for small unmanned aerial vehicles. IEEE Access 6(1), 57526–57535 (2018)
DW1000 user manual, http://www.decawave.com/. Accessed 11 July 2021
Yang, S., Hu, Z., Zhao, Q., Zhang, H.: Principle and precision verification of UWB positioning based on TOF. Geodesy Geodyn. 40(3), 247–251 (2020)
Qi, Y., Zhong, Y., Shi, Z.: Cooperative 3-D relative localization for UAV swarm by fusing UWB with IMU and GPS. J. Phys: Conf. Ser. 1642(1), 12–28 (2020)
Hu, X., Luo, Z., Jiang, W.: AGV localization system based on ultra-wideband and vision guidance. Electronics 9(3), 448–462 (2020)
Li, K., Wang, C., Huang, S., Liang, G., Wu, X., Liao, Y.: Self-positioning for UAV indoor navigation based on 3D laser scanner, UWB and INS. In: 2016 IEEE International Conference on Information and Automation (ICIA). Ningbo, China, pp. 498–503 (2016)
Cao, S., Zhou, Y., Yin, D., Lai, J.: UWB based integrated communication and positioning system for multi-UAVs close formation. In: 2nd International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018). Qingdao, China, pp. 539–548 (2018)
Acknowledgement
The research reported in this paper was supported by National Natural Science Foundation of China (No.61876187 and No.61931020) and Hunan Provincial Natural Science Foundation of China (2020JJ5668).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Chen, S., Yin, D., Niu, Y. (2022). Research and Implementation of Improved SS-TWR TOA Positioning Method Based on UWB. In: Wu, M., Niu, Y., Gu, M., Cheng, J. (eds) Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021). ICAUS 2021. Lecture Notes in Electrical Engineering, vol 861. Springer, Singapore. https://doi.org/10.1007/978-981-16-9492-9_337
Download citation
DOI: https://doi.org/10.1007/978-981-16-9492-9_337
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-9491-2
Online ISBN: 978-981-16-9492-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)