TY - GEN
T1 - Asynchronous Multisensor Data Fusion Algorithm based on the Decentralized Filtering Techniques
AU - Liu, Xu
AU - Qiu, Hongzhuan
AU - Song, Hua
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8
Y1 - 2018/8
N2 - For the process of multiple sensors with different sampling rates observing the same target, an asynchronous data fusion algorithm is proposed by minimizing the track of the fusion estimation error covariance matrix in this paper. The correlation between local filters is taken into account and the computational load of the central node can be reduced by using decentralized filtering technology. The fusion period for the central node is not fixed. The simulation results for the satellite autonomous navigation system are given to demonstrate its feasibility.
AB - For the process of multiple sensors with different sampling rates observing the same target, an asynchronous data fusion algorithm is proposed by minimizing the track of the fusion estimation error covariance matrix in this paper. The correlation between local filters is taken into account and the computational load of the central node can be reduced by using decentralized filtering technology. The fusion period for the central node is not fixed. The simulation results for the satellite autonomous navigation system are given to demonstrate its feasibility.
KW - asynchronous fusion algorithm
KW - autonomous navigation for satellite
KW - decentralized filtering
KW - state estimation
UR - https://www.scopus.com/pages/publications/85082441106
U2 - 10.1109/GNCC42960.2018.9018737
DO - 10.1109/GNCC42960.2018.9018737
M3 - 会议稿件
AN - SCOPUS:85082441106
T3 - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
BT - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
Y2 - 10 August 2018 through 12 August 2018
ER -