Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

Positioning and Tracking Performance Analysis of Hypersonic Vehicle Based on Cubature Kalman Filter

Authors
Jianghui Zeng, Yongming Gao
Corresponding Author
Jianghui Zeng
Available Online December 2018.
DOI
https://doi.org/10.2991/tlicsc-18.2018.7How to use a DOI?
Keywords
LEO, Hypersonic vehicle, Double star positioning tracking, Kinematic model, CKF.
Abstract
Aiming at the problem of location and tracking of hypersonic vehicles in adjacent space, the tracking and tracking performance of low-track binary satellites based on targets is explored. The trajectory model of hypersonic vehicles is established. Based on STK and Matlab simulation software, two stars are built for the target. The tracking and observation scenes are located. The classical kinematics model is used to track the target. Cubature Kalman tracking algorithm based on CV, CA and CS models is studied. The comparison analysis of three tracking algorithms is carried out. The simulation results show that the CS and CA models are more suitable for the positioning and tracking of hypersonic vehicles than the CV model. At the same time, it is pointed out that to further improve the target tracking performance, a maneuver detection or multi-model algorithm is needed.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-621-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/tlicsc-18.2018.7How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jianghui Zeng
AU  - Yongming Gao
PY  - 2018/12
DA  - 2018/12
TI  - Positioning and Tracking Performance Analysis of Hypersonic Vehicle Based on Cubature Kalman Filter
PB  - Atlantis Press
SP  - 40
EP  - 49
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.7
DO  - https://doi.org/10.2991/tlicsc-18.2018.7
ID  - Zeng2018/12
ER  -