Electronic Resource

Spacecraft Autonomous Navigation Technologies Based on Multi-source Information Fusion

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Penilaian

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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 of estimators are also included to help readers grasp basic estimation concepts and offer them a ready-reference guide.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001623	EB0002229	629.474 2 Wan s	Central Library (OPAC)	Available

Detail Information

Series Title

-

Call Number

629.474 2 Wan s

Publisher

Singapore : Springer Singapore., 2020

Collation

xxi, 340p.:ill

Language

English

ISBN/ISSN

978-981-15-4879-6

Classification

629.474 2

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Automated vehicles

Specific Detail Info

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Statement of Responsibility

BRF

Other version/related

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