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024 7 _a10.1007/978-981-15-4879-6
_2doi
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082 0 4 _a629.1
_223
100 1 _aWang, Dayi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_936392
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.
300 _aXXI, 340 p. 116 illus., 93 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aSpace Science and Technologies,
_x2730-6429
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. .
650 0 _aAerospace engineering.
_96033
650 0 _aAstronautics.
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650 0 _aControl engineering.
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650 0 _aRobotics.
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650 0 _aAutomation.
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650 0 _aSignal processing.
_94052
650 1 4 _aAerospace Technology and Astronautics.
_936394
650 2 4 _aControl, Robotics, Automation.
_931971
650 2 4 _aSignal, Speech and Image Processing .
_931566
700 1 _aLi, Maodeng.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_936395
700 1 _aHuang, Xiangyu.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_936396
700 1 _aZhang, Xiaowen.
_eauthor.
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_4http://id.loc.gov/vocabulary/relators/aut
_936397
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aSpace Science and Technologies,
_x2730-6429
_936399
856 4 0 _uhttps://doi.org/10.1007/978-981-15-4879-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75970
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