A first-order Davenport-q error-propagation model predicts deterministic attitude offsets and covariances for GNSS-aided sliding-window velocity-integral OBA, matching Monte Carlo and vehicle tests.
Research on algorithms for multi-vector attitude determination,
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Develops Hessian-matching based weighting strategies to approximate TLS covariance-weighted orthogonal Procrustes with Wahba solutions for short-range DoA attitude determination, plus gravity augmentation, with simulation improvements shown.
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Optimization-Based Velocity-Integral Sliding-Window Coarse Alignment: Attitude Error Analysis and Validation
A first-order Davenport-q error-propagation model predicts deterministic attitude offsets and covariances for GNSS-aided sliding-window velocity-integral OBA, matching Monte Carlo and vehicle tests.
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Hessian-matching Based Weighting for Attitude Determination Using Short-Range DoA Measurements with IMU Assistance
Develops Hessian-matching based weighting strategies to approximate TLS covariance-weighted orthogonal Procrustes with Wahba solutions for short-range DoA attitude determination, plus gravity augmentation, with simulation improvements shown.