Space Science and Technologies spacecraft autonomous navigation Technologies based on multi source information fusion 1st edition by Dayi Wang, Maodeng Li, Xiangyu Huang, Xiaowen Zhang 9789811548796 981154879X
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Authors:Peijian Ye , Series:IT & Computer [86] , Tags:Technology & Engineering › Electronics › General Technology & Engineering / Aeronautics & Astronautics Technology & Engineering / Automation Technology & Engineering / Electronics / General Technology & Engineering / Imaging Systems , Author sort:Ye, Peijian , Languages:Languages:eng , Published:Published:Jul 2020 , Publisher:Springer , Comments:Comments:of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publishers, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publishers nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publishers remain neutral with regard to jurisdictional claims in published maps and institutional affiliations
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ISBN 10: 981154879X
ISBN 13: 9789811548796
Author: Dayi Wang; Maodeng Li; Xiangyu Huang; Xiaowen Zhang
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.
Space Science and Technologies spacecraft autonomous navigation Technologies based on multi source information fusion 1st Table of contents:
1. Introduction
2. Point Estimation Theory
3. Estimation Fusion Algorithm
4. Performance Analysis
5. Time and Coordinate Systems
6. Dynamic Models and Environment Models
7. Inertial Autonomous Navigation Technology
8. Optical Autonomous Navigation Technology
9. Optical/Pulsar Integrated Autonomous Navigation Technology
10. Altimeter and Velocimeter-/Optical-Aided Inertial Navigation Technology
11. Simulation Testing Techniques for Autonomous Navigation Based on Multi-source Information Fusion
12. Prospect for Multi-source Information Fusion Navigation
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