TY - GEN
T1 - Perception of Building Internal Structure Based on UWB Network
AU - Lou, Wenzhong
AU - Su, Zilong
AU - Zhao, Fei
AU - Ji, Tongan
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - This paper aims at the weak perception of the internal structure of the building, and studies the UWB network sensing architecture internal structure. According to the building type and measurement principle, the UWB network is constructed to sense the internal structure of the building in real time; based on EKF, the tag movement state in the positioning network is obtained; using the error characteristics between the measured distance and the actual distance, the topological relationship between the UWB network and the building internal structure is established. The simulation results show that the deviation between EKF trajectory and real trajectory is less than 15 mm, and the wall parameters in the positioning network can be inferred through the error between the measured distance and the actual distance, so as to complete the perception of the internal structure of the building, provide information support for the follow-up action, and reduce casualties.
AB - This paper aims at the weak perception of the internal structure of the building, and studies the UWB network sensing architecture internal structure. According to the building type and measurement principle, the UWB network is constructed to sense the internal structure of the building in real time; based on EKF, the tag movement state in the positioning network is obtained; using the error characteristics between the measured distance and the actual distance, the topological relationship between the UWB network and the building internal structure is established. The simulation results show that the deviation between EKF trajectory and real trajectory is less than 15 mm, and the wall parameters in the positioning network can be inferred through the error between the measured distance and the actual distance, so as to complete the perception of the internal structure of the building, provide information support for the follow-up action, and reduce casualties.
KW - Extended Kalman Filter
KW - Internal structure
KW - UWB network
UR - http://www.scopus.com/inward/record.url?scp=85130898026&partnerID=8YFLogxK
U2 - 10.1007/978-981-16-9492-9_15
DO - 10.1007/978-981-16-9492-9_15
M3 - Conference contribution
AN - SCOPUS:85130898026
SN - 9789811694912
T3 - Lecture Notes in Electrical Engineering
SP - 139
EP - 147
BT - Proceedings of 2021 International Conference on Autonomous Unmanned Systems, ICAUS 2021
A2 - Wu, Meiping
A2 - Niu, Yifeng
A2 - Gu, Mancang
A2 - Cheng, Jin
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Autonomous Unmanned Systems, ICAUS 2021
Y2 - 24 September 2021 through 26 September 2021
ER -