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Title
Spacecraft autonomous navigation technologies based on multi-source information fusion / Dayi Wang, Maodeng Li, Xiangyu Huang, Xiaowen Zhang.
ISBN
9789811548796 (electronic bk.)
981154879X (electronic bk.)
9811548781
9789811548789
Publication Details
Singapore : Springer, [2021]
Language
English
Description
1 online resource
Item Number
10.1007/978-981-15-4879-6 doi
10.1007/978-981-15-4
Call Number
TL3250
Dewey Decimal Classification
629.47/42
Summary
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.
Access Note
Access limited to authorized users.
Series
Space science and technologies.
Available in Other Form
Print version: 9789811548789
Introduction
Point Estimation Theory
Estimation Fusion Algorithm
Performance Analysis
Time and Coordinate Systems
Dynamic Models and Environment Models
Inertial Autonomous Navigation Technology
Optical Autonomous Navigation Technology
Optical/Pulsar Integrated Autonomous Navigation Technology
Altimeter and Velocimeter/Optical Aided Inertial Navigation Technology
Simulation Testing Techniques for Autonomous Navigation Based on Multi-source Information Fusion
Prospect for Multi-source Information Fusion Navigation.
