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2013
DOI: 10.2478/arsa-2013-0009
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A Comparison Between Numerical Differentiation and Kalman Filtering for a Leo Satellite Velocity Determination

Abstract: The kinematic orbit is a time series of position vectors generally obtained from GPS observations. Velocity vector is required for satellite gravimetry application. It cannot directly be observed and should be numerically determined from position vectors. Numerical differentiation is usually employed for a satellite's velocity, and acceleration determination. However, noise amplification is the single obstacle to the numerical differentiation. As an alternative, velocity vector is considered as a part of the s… Show more

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Cited by 11 publications
(7 citation statements)
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References 13 publications
(11 reference statements)
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“…The presence of an undefined input does not allow the use the standard Kalman linear correction [ 1 ]. In order to suppress disturbances in systems (12), (13), one can select discontinuous corrective actions [ 11 ].…”
Section: Problem Definitionmentioning
confidence: 99%
See 1 more Smart Citation
“…The presence of an undefined input does not allow the use the standard Kalman linear correction [ 1 ]. In order to suppress disturbances in systems (12), (13), one can select discontinuous corrective actions [ 11 ].…”
Section: Problem Definitionmentioning
confidence: 99%
“…Note that, when estimating, it is fundamentally impossible to separate the useful signal from the noise in the case when they operate in the same frequency band. Under certain conditions, the Kalman filter can be optimally tuned according to the criterion of minimum mean square estimation error [ 1 ]. The implementation of the Kalman filter requires exact knowledge of the parameters of the plant model, or their adequate identification, which is not always possible.…”
Section: Introductionmentioning
confidence: 99%
“…Since there are no mature mathematical models for above mentioned errors and their influences are much smaller than the clock errors (see Table . 2), we adopt a general error model which contains systematic b Satellite's position errors are assumed as 10 mm (Kang et al, 2006), velocity errors are assumed as 0.1mm/s (Sharifi et al, 2013).…”
Section: "Observed" Valuesmentioning
confidence: 99%
“…df vepo is the position and velocity errors of ground station and satellite. The position error in the precise ephemeris of a GPS satellite is about 10 À2 m (Kang et al 2006;Guo et al 2015), and the velocity error can be reduced to below 10 À5 m/s (Sharifi et al 2013).…”
Section: Gravitational Potential Difference Determination Between a Smentioning
confidence: 99%