TY - GEN
T1 - An LSTM-based trajectory estimation algorithm for non-cooperative maneuvering flight vehicles
AU - Zhang, Xinran
AU - He, Fenghua
AU - Zheng, Tianyu
N1 - Publisher Copyright:
© 2019 Technical Committee on Control Theory, Chinese Association of Automation.
PY - 2019/7
Y1 - 2019/7
N2 - In this paper, a learning-based trajectory estimation method is proposed for non-cooperative flight vehicles. First, a parameterized model of a non-cooperative flight vehicle is established in which three different maneuverings, S-shape, spiral and cycloid maneuvering, are considered. Then, an LSTM-based identification algorithm is proposed to obtain maneuvering parameters of the established models. Then, an Extended Kalman filter is used to estimate the trajectory of the flight vehicle by using the identified parameters. Last, simulation experiments are performed to show the proposed method is effective.
AB - In this paper, a learning-based trajectory estimation method is proposed for non-cooperative flight vehicles. First, a parameterized model of a non-cooperative flight vehicle is established in which three different maneuverings, S-shape, spiral and cycloid maneuvering, are considered. Then, an LSTM-based identification algorithm is proposed to obtain maneuvering parameters of the established models. Then, an Extended Kalman filter is used to estimate the trajectory of the flight vehicle by using the identified parameters. Last, simulation experiments are performed to show the proposed method is effective.
KW - LSTM
KW - Maneuver Identification
KW - Trajectory Estimation
UR - https://www.scopus.com/pages/publications/85074443685
U2 - 10.23919/ChiCC.2019.8866249
DO - 10.23919/ChiCC.2019.8866249
M3 - 会议稿件
AN - SCOPUS:85074443685
T3 - Chinese Control Conference, CCC
SP - 8821
EP - 8826
BT - Proceedings of the 38th Chinese Control Conference, CCC 2019
A2 - Fu, Minyue
A2 - Sun, Jian
PB - IEEE Computer Society
T2 - 38th Chinese Control Conference, CCC 2019
Y2 - 27 July 2019 through 30 July 2019
ER -