2012
DOI: 10.2514/1.54385
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Analytical Nonlinear Propagation of Uncertainty in the Two-Body Problem

Abstract: One topic of recent interest in the field of space situational awareness is the accurate and consistent representation of an observed object's uncertainty under nonlinear dynamics. This paper presents a method of analytical nonlinear propagation of uncertainty under two-body dynamics. In particular, the probability density function over state space and its mean and covariance matrix are expressed analytically for all time via a special solution of the Fokker-Planck equations for deterministic Hamiltonian syste… Show more

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Cited by 66 publications
(29 citation statements)
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References 9 publications
(26 reference statements)
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“…Here the linearized dynamics errors have non-zero components in both the tangential and normal directions. It is interesting to note that Fujimoto et al 11 In the examples depicted in Fig. 6 and Fig.…”
Section: Isolation Of Linearized Dynamics Errorsmentioning
confidence: 99%
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“…Here the linearized dynamics errors have non-zero components in both the tangential and normal directions. It is interesting to note that Fujimoto et al 11 In the examples depicted in Fig. 6 and Fig.…”
Section: Isolation Of Linearized Dynamics Errorsmentioning
confidence: 99%
“…One approach is to change the coordinates used for propagating the covariance, such as classical orbit elements, 8 equinoctial orbit elements, 4,7,9,10 Poincaré orbit elements, 11,12 polar coordinates, 7 and curvilinear coordinates. 4,13,14 Another approach is to simply transform the Cartesian covariance into a more suitable representation using Eq.…”
Section: B Techniques To Recover the Non-gaussian Error Volumementioning
confidence: 99%
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“…Techniques for such approaches have usually involved either higher order expansions about the nominal trajectory [10,5], multiple nonlinear propagations of a distribution of state-space points [2], or some hybrid of the two approaches [4]. There has been some recent progress in this area; Coffee et al [2], for instance, introduced a computational method for extracting and using dynamical "channels" through the state space of the circular restricted three-body problem (CR3BP).…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, Monte Carlo simulations provide a high precision, but call for numerous computations. Based on the Taylor series expansion theory, Sengupta et al [11][12][13] proposed a second-order state transition tensor (STT) method for relative motion, which provided an analytical characterization of the secondorder nonlinearity. In the current paper, this second-order STT method is employed for error propagation of target…”
Section: Introductionmentioning
confidence: 99%