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_a10.1007/978-981-15-4879-6 _2doi |
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_a629.1 _223 |
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_aWang, Dayi. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _936392 |
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245 | 1 | 0 |
_aSpacecraft Autonomous Navigation Technologies Based on Multi-source Information Fusion _h[electronic resource] / _cby Dayi Wang, Maodeng Li, Xiangyu Huang, Xiaowen Zhang. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2021. |
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300 |
_aXXI, 340 p. 116 illus., 93 illus. in color. _bonline resource. |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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490 | 1 |
_aSpace Science and Technologies, _x2730-6429 |
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505 | 0 | _aIntroduction -- 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. | |
520 | _aThis 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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_aAerospace engineering. _96033 |
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_aAstronautics. _936393 |
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_aSignal processing. _94052 |
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_aAerospace Technology and Astronautics. _936394 |
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_aControl, Robotics, Automation. _931971 |
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_aSignal, Speech and Image Processing . _931566 |
700 | 1 |
_aLi, Maodeng. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _936395 |
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700 | 1 |
_aHuang, Xiangyu. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _936396 |
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700 | 1 |
_aZhang, Xiaowen. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _936397 |
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_aSpringerLink (Online service) _936398 |
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_iPrinted edition: _z9789811548789 |
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_aSpace Science and Technologies, _x2730-6429 _936399 |
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