| 书目名称 | Spacecraft Autonomous Navigation Technologies Based on Multi-source Information Fusion |
| 编辑 | Dayi Wang,Maodeng Li,Xiaowen Zhang |
| 视频video | http://file.papertrans.cn/874/873237/873237.mp4 |
| 概述 | Establishes the relations between various estimators to help readers understand them clearly.Covers mainstream autonomous navigation technologies for deep space missions.Includes numerical simulations |
| 丛书名称 | Space Science and Technologies |
| 图书封面 |  |
| 描述 | 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. . |
| 出版日期 | Book 2021 |
| 关键词 | Autonomous Navigation; Multi-Source Information Fusion; Estimation Theory; Fusion Algorithm; Strapdown I |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-15-4879-6 |
| isbn_softcover | 978-981-15-4881-9 |
| isbn_ebook | 978-981-15-4879-6Series ISSN 2730-6410 Series E-ISSN 2730-6429 |
| issn_series | 2730-6410 |
| copyright | Beijing Institute of Technology Press 2021 |
|Archiver|手机版|小黑屋|
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