2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014 2014
DOI: 10.1109/plans.2014.6851353
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A new integrated Gaussian-Markov process model for precision shipboard transfer alignment

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Cited by 6 publications
(5 citation statements)
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“…T is the vector of gyro bias difference between MINS and SINS. e dynamic component φ → d is generally modeled by the second-order Markov process [3,6,17,18], which can be written as…”
Section: Optimal Estimation Of Ship Flexure Anglementioning
confidence: 99%
“…T is the vector of gyro bias difference between MINS and SINS. e dynamic component φ → d is generally modeled by the second-order Markov process [3,6,17,18], which can be written as…”
Section: Optimal Estimation Of Ship Flexure Anglementioning
confidence: 99%
“…The second-order Gauss-Markov process is the most commonly adopted to depict the dynamic deformation according to its time characteristics. [1][2][3][6][7][8][9][10][11][12][13][14][15][16][17] To improve the dynamic deformation model according to the specific working condition and environment, an integrated Gauss-Markov processes model has been proposed 5 instead of the traditional second-order Gauss-Markov process model. Although IMMM with this model can give acceptable results in many applications, it has been recognized that these dynamic deformation model does not consider correlation between three dimensions.…”
Section: Introductionmentioning
confidence: 99%
“…Hull deformation estimation is of great significance for inertia matching method to acquire high accurate result. Kalman filtering is the most widely used state estimation method for hull deformation estimation; [1][2][3][4][5][10][11][12][13][14][15][16][17][18][19][20] it can solve linear problem with good convergence and the ability to remove high-frequency noises. However, when the inertia matching function is nonlinear, KF is not suitable.…”
Section: Introductionmentioning
confidence: 99%
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