TY - GEN
T1 - State Estimation for the Unknown Motion Model with Bearing-only Measurement
AU - Wang, Xiaohua
AU - Liang, Yan
AU - Xu, Linfeng
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - This paper presents the problem of state estimation for moving objects with bearing-only measurements in the case that the a priori motion model is unknown, i.e., its acceleration is absolutely unknown, which can not be dealt with by the mainstream Kalman-like schemes based on the known motion model. First, the essential reason disadvantage of the bearing-only measurement in the states estimation is described, and hence an alternative measurement is proposed. Then, an unknown input observer is proposed to estimate the position and velocity of the object. Finally, the numeric simulation demonstrates the effectiveness in terms of estimation accuracy and terminative time.
AB - This paper presents the problem of state estimation for moving objects with bearing-only measurements in the case that the a priori motion model is unknown, i.e., its acceleration is absolutely unknown, which can not be dealt with by the mainstream Kalman-like schemes based on the known motion model. First, the essential reason disadvantage of the bearing-only measurement in the states estimation is described, and hence an alternative measurement is proposed. Then, an unknown input observer is proposed to estimate the position and velocity of the object. Finally, the numeric simulation demonstrates the effectiveness in terms of estimation accuracy and terminative time.
KW - Bearing-only measurement
KW - State estimation
KW - Unknown input observer
UR - http://www.scopus.com/inward/record.url?scp=85123989140&partnerID=8YFLogxK
U2 - 10.1109/ICCAIS52680.2021.9624645
DO - 10.1109/ICCAIS52680.2021.9624645
M3 - 会议稿件
AN - SCOPUS:85123989140
T3 - 10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021 - Proceedings
SP - 432
EP - 437
BT - 10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021
Y2 - 14 October 2021 through 17 October 2021
ER -