2017 IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace) 2017
DOI: 10.1109/metroaerospace.2017.7999620
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In-flight calibration, alignment and verification of an astroinertial attitude determination system for free-flying robots and land-survey satellites

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Cited by 15 publications
(2 citation statements)
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“…To compensate variations in the drift, scale and mutual position of the IMU and STC, the continuous vector estimation îω r (τ ) in basis A is computed by relation îω r (τ ) = (1 − mr )( Ŝ∆ r ) t ( îgω r (τ ) − bg τ ), τ ∈ [t r , t r+1 ], moreover îω r+1 = îω r (T o ) [Somov et al, 2017].…”
Section: The Sins Aligning and Calibrationmentioning
confidence: 99%
“…To compensate variations in the drift, scale and mutual position of the IMU and STC, the continuous vector estimation îω r (τ ) in basis A is computed by relation îω r (τ ) = (1 − mr )( Ŝ∆ r ) t ( îgω r (τ ) − bg τ ), τ ∈ [t r , t r+1 ], moreover îω r+1 = îω r (T o ) [Somov et al, 2017].…”
Section: The Sins Aligning and Calibrationmentioning
confidence: 99%
“…To improve the calibration accuracy under large installation angle errors, Zhang et al presented a novel calibration approach using a regularized backpropagation neural network and achieved calibration without formula derivation and numerical calculation under both small and large installation angle errors [15]. In the related area of inertial navigation systems (INSs), the calibration of the installation parameters of star sensors has also received significant attention [16,17]. Zhang et al presented a star sensor installation error calibration approach on a swaying base for an INS using an AKF.…”
Section: Introductionmentioning
confidence: 99%