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2024 | OriginalPaper | Buchkapitel

UWB/INS Integrated Positioning Method Considering Time Latency and NLOS Errors

verfasst von : Xiaoji Dai, Tianhe Xu, Min Li, Tianyou Jiang, Linghan Yao

Erschienen in: China Satellite Navigation Conference (CSNC 2024) Proceedings

Verlag: Springer Nature Singapore

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Abstract

Ultra-wideband (UWB) positioning technology has currently become a research hotspot for local small-scale positioning and navigation due to its advantages of high accuracy and wide bandwidth. The UWB positioning accuracy based on time of arrival (TOA) can theoretically reach centimeter level accuracy. However, due to the susceptibility of UWB signals to system time latency and non line of sight (NLOS) errors during propagation, it is difficult to achieve the expected positioning accuracy. Based on the method of broadcasting clock differencing approach in GNSS positioning, a UWB time synchronization station is established. Time differencing observation information is used to calibrate the time latency of the base station relative to the main base station. The unknown parameters include tag position information and equivalent time delay latency. The UWB/INS tightly coupled model combines Kalman filtering with ranging innovation vector to reduce the impact of UWB NLOS errors on positioning accuracy by multi-factor adaptive adjustment of the weight of UWB ranging information containing NLOS errors. The impact of time latency is also considered. The experimental results show that the static UWB positioning plane accuracy can reach centimeter level by considering the time latency. The tightly coupled UWB/INS positioning, considering both time latency and NLOS errors, can effectively reduce the influence of system time latency and NLOS errors on positioning accuracy. The positioning accuracy and stability are further improved compared with the conventional UWB/INS combination.

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Literatur
1.
Zurück zum Zitat Zhimin, M., Luwen, Z., Shiwei, T., et al.: Class imbalance learning for identifying NLOS in UWB positioning [J]. J. Signal Process. 32(01), 8–13 (2016) Zhimin, M., Luwen, Z., Shiwei, T., et al.: Class imbalance learning for identifying NLOS in UWB positioning [J]. J. Signal Process. 32(01), 8–13 (2016)
2.
Zurück zum Zitat Zeng, L., Peng, C., Liu, H.: UWB indoor positioning algorithm based on NLOS identification [J]. J. Comput. Appl. 38(S1), 131–134+139 (2018) Zeng, L., Peng, C., Liu, H.: UWB indoor positioning algorithm based on NLOS identification [J]. J. Comput. Appl. 38(S1), 131–134+139 (2018)
3.
Zurück zum Zitat Cui, H.: Non-line-of-sight obstacle recognition and error compensation for UWB Indoor positioning [D]. China Univ. Min. Technol. (2020) Cui, H.: Non-line-of-sight obstacle recognition and error compensation for UWB Indoor positioning [D]. China Univ. Min. Technol. (2020)
4.
Zurück zum Zitat Tao, L.I.U., Aigong, X.U., Xin, S.U.I.: UWB navigation and positioning based on adaptive robust KF-UKF [J]. Sci. Surv. Mapp. 42(12), 104–111 (2017) Tao, L.I.U., Aigong, X.U., Xin, S.U.I.: UWB navigation and positioning based on adaptive robust KF-UKF [J]. Sci. Surv. Mapp. 42(12), 104–111 (2017)
5.
Zurück zum Zitat Cheng, Y.A.N.G., Wenzhong, S.H.I., Wu, C.H.E.N.: Robust M-M unscented Kalman filtering for GPS/IMU navigation [J]. J. Geodesy 93(8), 1093–1104 (2019)CrossRef Cheng, Y.A.N.G., Wenzhong, S.H.I., Wu, C.H.E.N.: Robust M-M unscented Kalman filtering for GPS/IMU navigation [J]. J. Geodesy 93(8), 1093–1104 (2019)CrossRef
6.
Zurück zum Zitat Ge, L.: Reserch on high precision indoor location and clock synchronization algorithms based on UWB [D]. Beijing Univ. Posts Telecommun. (2019) Ge, L.: Reserch on high precision indoor location and clock synchronization algorithms based on UWB [D]. Beijing Univ. Posts Telecommun. (2019)
7.
Zurück zum Zitat Liu, T., Li, B., Yang, L.: Phase center offset calibration and multi-point time latency determination for UWB location [J]. IEEE Internet Things J. (2022) Liu, T., Li, B., Yang, L.: Phase center offset calibration and multi-point time latency determination for UWB location [J]. IEEE Internet Things J. (2022)
8.
Zurück zum Zitat Hol, J.D., Dijkstra, F., Luinge, H., et al.: Tightly coupled UWB/IMU pose estimation[C]//2009, pp. 688–692. In: IEEE International Conference on Ultra-Wideband. IEEE (2009) Hol, J.D., Dijkstra, F., Luinge, H., et al.: Tightly coupled UWB/IMU pose estimation[C]//2009, pp. 688–692. In: IEEE International Conference on Ultra-Wideband. IEEE (2009)
9.
Zurück zum Zitat Ye, T., Tedesco, S., Walsh, M., et al.: Fully-coupled hybrid IEEE 802.15. 4a UWB/IMU position estimation in indoor environments [C]. In: 25th IET Irish Signals and Systems Conference 2014 and 2014 China-Ireland International Conference on Information and Communications Technologies (ISSC 2014/CIICT 2014), pp. 53–58. IET (2014) Ye, T., Tedesco, S., Walsh, M., et al.: Fully-coupled hybrid IEEE 802.15. 4a UWB/IMU position estimation in indoor environments [C]. In: 25th IET Irish Signals and Systems Conference 2014 and 2014 China-Ireland International Conference on Information and Communications Technologies (ISSC 2014/CIICT 2014), pp. 53–58. IET (2014)
10.
Zurück zum Zitat Qigao, F.A.N., Biwen, S.U.N., Yan, S.U.N., et al.: Data fusion for indoor mobile robot positioning based on tightly coupled INS/UWB [J]. J. Navig. 70(5), 1079–1097 (2017)CrossRef Qigao, F.A.N., Biwen, S.U.N., Yan, S.U.N., et al.: Data fusion for indoor mobile robot positioning based on tightly coupled INS/UWB [J]. J. Navig. 70(5), 1079–1097 (2017)CrossRef
11.
Zurück zum Zitat Aigong, X.U., Tao, L.I.U., Xin, S.U.I., et al.: Indoor positioning and attitude determination method based on UWB/INS tightly coupled [J]. J. Navig. Position. 5(2), 14–19 (2017) Aigong, X.U., Tao, L.I.U., Xin, S.U.I., et al.: Indoor positioning and attitude determination method based on UWB/INS tightly coupled [J]. J. Navig. Position. 5(2), 14–19 (2017)
12.
Zurück zum Zitat Yu, H.: Research on the models and methods of ultra-wideband/GNSS/SINS integrated positioning [D]. China Univ. Min. Technol. (2020) Yu, H.: Research on the models and methods of ultra-wideband/GNSS/SINS integrated positioning [D]. China Univ. Min. Technol. (2020)
13.
Zurück zum Zitat Li, J., Bi, Y., Li, K., et al.: Accurate 3D localization for MAV swarms by UWB and IMU fusion[C]. In: 2018 IEEE 14th International Conference on Control and Automation (ICCA), pp. 100–105. IEEE (2018) Li, J., Bi, Y., Li, K., et al.: Accurate 3D localization for MAV swarms by UWB and IMU fusion[C]. In: 2018 IEEE 14th International Conference on Control and Automation (ICCA), pp. 100–105. IEEE (2018)
Metadaten
Titel
UWB/INS Integrated Positioning Method Considering Time Latency and NLOS Errors
verfasst von
Xiaoji Dai
Tianhe Xu
Min Li
Tianyou Jiang
Linghan Yao
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-99-6928-9_27

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