Unscented Kalman filter and smoothing applied to attitude estimation of artificial satellites

DOI10.1007/s40314-018-0576-8zbMath1438.62171OpenAlexW2789800287MaRDI QIDQ2313832

William Reis Silva, Hélio Koiti Kuga, Roberta Veloso Garcia, Maria Cecília F. P. S. Zanardi

Publication date: 23 July 2019

Published in: Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40314-018-0576-8

zbMATH Keywords

Euler anglesattitude estimationunscented Kalman filterRauch-Tung-Striebel smoother

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics in engineering and industry; control charts (62P30) Applications of statistics to physics (62P35)

Related Items (2)

A computationally efficient unscented Kalman smoother for ameliorated tracking of subatomic particles in high energy physics experiments ⋮ Celestial mechanics, spacecrafts, and 50th years of the first humans on the Moon

Uses Software

• Matlab
• PROPAT

Cites Work

• Unnamed Item
• On Gaussian Optimal Smoothing of Non-Linear State Space Models

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