Abstract
The unknown maneuver is a key restriction for the real-time spacecraft tracking. For the modeling residual by dynamic of orbits, a compensative modeling method is developed according to the idea of “current” statistic. Then an orbit filter is established based on the new model and the unscented filter. By utilizing a non-mean value and time correlated stochastic process for the maneuvering acceleration, the new model can achieve an online auto-adaptivity for orbit acceleration with different maneuvers mode. Therefore, it can obtain a continuous and accurately estimated orbit for orbit with unknown maneuver. Simulation results for space target with series of random pulsar and continuous maneuvers validated the feasibility and efficiency of the new tracking filter.
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References
Xu T, Zhu XP, Yang J (2012) Research on maneuvering target tracking algorithm with bearing-only measurements. In: The 3rd international conference on mechanic automation control engineering, pp 2432–2436
Li XR, Jilkov VP (2001) A survey of maneuvering target tracking—part II: ballistic target models. In: Proceedings of 2001 SPIE conference on signal and data processing of small targets, San Diego, vol 4473, pp 1–23
Li XR, Jilkov VP (2003) A survey of maneuvering target tracking part I: dynamic models. IEEE Trans Aerosp Electron Syst 39(4):1333–1364
Li XR, Jilkov VP (2002) A survey of maneuvering target tracking—part IV: decision-based methods. In: Proceedings of SPIE conference on signal data processinf small targets, Orlando, pp 1–24
Liu Y, Yu AX, Zhu JB et al (2013) Survey of the filters for ballistic target real-time tracking. J Astronaut 34(11):1–9
Zhou HR (1991) Maneuvering target tracking. National Defense Industry Press, Beijing
Pang WH, Wen YL (1954) Liao Y (2008) Orbit determination method with batch processor based on semi-parametric regression model. J Astronaut 29(6):1917–1921
Julier SJ, Uhlmann JK (1997) A new extension of the Kalman filter to nonlinear systems. In: Proceedings of aerosense: 11th international symposium aerospace/defense sensing, simulation and controls, Orlando, pp 54–65
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Liu, Y., Cao, J., Liu, L. (2015). Real-Time Estimation of Maneuvering Orbit by Compensative Modeling of “Current” Acceleration. In: Shen, R., Qian, W. (eds) Proceedings of the 27th Conference of Spacecraft TT&C Technology in China. Lecture Notes in Electrical Engineering, vol 323. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44687-4_35
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DOI: https://doi.org/10.1007/978-3-662-44687-4_35
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