Téléchargez le livre : Spacecraft Autonomous Navigation Technologies Based on Multi-source Information Fusion

Spacecraft Autonomous Navigation Technologies Based on Multi-source Information Fusion

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Éditeur :

Springer


Collection :

Space Science and Technologies

Paru le : 2020-07-31

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Description
This book introduces readers to the fundamentals of estimation and dynamical system theory, and their applications in the field of multi-source information fused autonomous navigation for spacecraft. The content is divided into two parts: theory and application. The theory part (Part I) covers the mathematical background of navigation algorithm design, including parameter and state estimate methods, linear fusion, centralized and distributed fusion, observability analysis, Monte Carlo technology, and linear covariance analysis. In turn, the application part (Part II) focuses on autonomous navigation algorithm design for different phases of deep space missions, which involves multiple sensors, such as inertial measurement units, optical image sensors, and pulsar detectors. By concentrating on the relationships between estimation theory and autonomous navigation systems for spacecraft, the book bridges the gap between theory and practice. A wealth of helpful formulas and various types ofestimators are also included to help readers grasp basic estimation concepts and offer them a ready-reference guide.       
Pages
340 pages
Collection
Space Science and Technologies
Parution
2020-07-31
Marque
Springer
EAN papier
9789811548789
EAN PDF
9789811548796
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
34
Taille du fichier
14418 Ko
Prix
220,49 €
EAN EPUB
9789811548796
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
34
Taille du fichier
44411 Ko
Prix
220,49 €

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