Positioning and Tracking Performance Analysis of Hypersonic Vehicle based on Aerodynamic Model

Autor: Yongming Gao, Jianghui Zeng, Dan Ding
Rok vydání: 2019
Předmět:
Zdroj: 2019 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA).
DOI: 10.1109/icaica.2019.8873439
Popis: Aiming at the problem of positioning and tracking of near-space hypersonic vehicles, the tracking performance of low-track binary satellite system based on space-based infrared satellites is explored. According to the established equation of motion of hypersonic vehicles, the actual ballistic data of the target is obtained based on Matlab simulation, based on STK. The simulation software sets the motion trajectory of the target and the positioning and tracking observation scene of the binary star for the target aircraft. The positioning and tracking algorithm based on aerodynamic model is explored. Combined with the Cubature Kalman filter, the positioning and tracking performance of the model is simulated. The simulation results show that the model has good tracking performance for the jump-gliding ballistic hypersonic vehicle.
Databáze: OpenAIRE