TY - GEN
T1 - UWB Hybrid Filtering-Based Mobile IoT Device Tracking
AU - Zhang, Boliang
AU - Shen, Lu
AU - Yao, Jiahua
AU - Tang, Su Kit
AU - Mirri, Silvia
N1 - Publisher Copyright:
© 2023 Owner/Author.
PY - 2023/9/6
Y1 - 2023/9/6
N2 - The positioning accuracy of UWB-based mobile Internet of Things (IoT) devices is frequently impacted by the complicated indoor environment, which is a common application for automated following mobile IoT devices. To address the issue of abnormal value errors such as high noise and UWB jitter value when tracking and locating mobile IoT devices in complicated indoor environments, this paper proposes to use a hybrid filtering weighted following algorithm based on UWB, which combines the benefits and drawbacks of Gaussian, median, and average filtering techniques, introduces the residual value of ranging, and combines geometric positioning to determine the ideal following value. The experimental results show that the proposed algorithm can effectively filter out the UWB error under multi-factor interference and finally estimate the UWB value closest to the actual value, thereby improving the stability and sensitivity of the following process and obtaining a better follow effect.
AB - The positioning accuracy of UWB-based mobile Internet of Things (IoT) devices is frequently impacted by the complicated indoor environment, which is a common application for automated following mobile IoT devices. To address the issue of abnormal value errors such as high noise and UWB jitter value when tracking and locating mobile IoT devices in complicated indoor environments, this paper proposes to use a hybrid filtering weighted following algorithm based on UWB, which combines the benefits and drawbacks of Gaussian, median, and average filtering techniques, introduces the residual value of ranging, and combines geometric positioning to determine the ideal following value. The experimental results show that the proposed algorithm can effectively filter out the UWB error under multi-factor interference and finally estimate the UWB value closest to the actual value, thereby improving the stability and sensitivity of the following process and obtaining a better follow effect.
KW - IoT
KW - UWB jitter value
KW - following algorithm
KW - hybrid filtering
KW - indoor positioning
UR - http://www.scopus.com/inward/record.url?scp=85174302627&partnerID=8YFLogxK
U2 - 10.1145/3582515.3609569
DO - 10.1145/3582515.3609569
M3 - Conference contribution
AN - SCOPUS:85174302627
T3 - ACM International Conference Proceeding Series
SP - 471
EP - 476
BT - GoodIT 2023 - Proceedings of the 2023 ACM Conference on Information Technology for Social Good
PB - Association for Computing Machinery
T2 - 3rd ACM Conference on Information Technology for Social Good, GoodIT 2023
Y2 - 6 September 2023 through 8 September 2023
ER -