Proceedings of the 33rd Chinese Control Conference 2014
DOI: 10.1109/chicc.2014.6896728
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Adaptive Kalman filter for the aerobraking phase of Mars missions

Abstract: The navigation accuracy in the aerobraking phase of Mars mission is limited by atmospheric drag uncertainty. In this paper, an adaptive kalman filter is presented to cope with this uncertainty based covariance-matching method. By matching the theoretical covariance with the sampling covariance of the residual of the measurement, the process noise covariance is estimated. In addition, a Chi-Square test is used to evaluate the effectiveness of the process noise covariance estimation. Another advantage of Chi-Squ… Show more

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Cited by 1 publication
(2 citation statements)
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“…Similarly, the perturbing planet ephemeris error propagation model can be established based on the differential of acceleration with respect to the changes in r i , that is dr i (13) can be rewritten as follows…”
Section: Uncertainty In the Target Ephemerismentioning
confidence: 99%
See 1 more Smart Citation
“…Similarly, the perturbing planet ephemeris error propagation model can be established based on the differential of acceleration with respect to the changes in r i , that is dr i (13) can be rewritten as follows…”
Section: Uncertainty In the Target Ephemerismentioning
confidence: 99%
“…Li et al 12 proposed the autonomous navigation scheme applied UPF in celestial navigation to achieve accurate navigation with respect to the target planet in encounter phrase. Li et al 13 proposed the autonomous navigation method based on adaptive Kalman filter for the aerobraking phase of Mars missions. Huang et al 14 designed a semi-physical simulation system of autonomous optical navigation for Mars approaching phase.…”
Section: Introductionmentioning
confidence: 99%