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

DOI

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.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

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
BT  - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SP  - 40
EP  - 49
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.7
DO  - 10.2991/tlicsc-18.2018.7
ID  - Zeng2018/12
ER  -