001431698 000__ 03596cam\a2200565\a\4500
001431698 001__ 1431698
001431698 003__ OCoLC
001431698 005__ 20230309003236.0
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001431698 007__ cr\un\nnnunnun
001431698 008__ 200807s2021\\\\si\\\\\\o\\\\\000\0\eng\d
001431698 019__ $$a1191034381$$a1195469772$$a1196168668$$a1197551521$$a1198154145$$a1198817968
001431698 020__ $$a9789811548796$$q(electronic bk.)
001431698 020__ $$a981154879X$$q(electronic bk.)
001431698 020__ $$z9811548781
001431698 020__ $$z9789811548789
001431698 0247_ $$a10.1007/978-981-15-4879-6$$2doi
001431698 0248_ $$a10.1007/978-981-15-4
001431698 035__ $$aSP(OCoLC)1182512647
001431698 040__ $$aYDX$$beng$$epn$$cYDX$$dGW5XE$$dLQU$$dOCLCF$$dN$T$$dOCLCQ$$dOCLCO$$dOCLCQ
001431698 049__ $$aISEA
001431698 050_4 $$aTL3250
001431698 08204 $$a629.47/42$$223
001431698 24500 $$aSpacecraft autonomous navigation technologies based on multi-source information fusion /$$cDayi Wang, Maodeng Li, Xiangyu Huang, Xiaowen Zhang.
001431698 260__ $$aSingapore :$$bSpringer,$$c[2021]
001431698 300__ $$a1 online resource
001431698 336__ $$atext$$btxt$$2rdacontent
001431698 337__ $$acomputer$$bc$$2rdamedia
001431698 338__ $$aonline resource$$bcr$$2rdacarrier
001431698 4901_ $$aSpace science and technologies,$$x2730-6410
001431698 5050_ $$aIntroduction -- Point Estimation Theory -- Estimation Fusion Algorithm -- Performance Analysis -- Time and Coordinate Systems -- Dynamic Models and Environment Models -- Inertial Autonomous Navigation Technology -- Optical Autonomous Navigation Technology -- Optical/Pulsar Integrated Autonomous Navigation Technology -- Altimeter and Velocimeter/Optical Aided Inertial Navigation Technology -- Simulation Testing Techniques for Autonomous Navigation Based on Multi-source Information Fusion -- Prospect for Multi-source Information Fusion Navigation.
001431698 506__ $$aAccess limited to authorized users.
001431698 520__ $$aThis book introduces readers to the fundamentals of estimation and dynamical system theory, and their applications in the field of multi-source information fused autonomous navigation for spacecraft. The content is divided into two parts: theory and application. The theory part (Part I) covers the mathematical background of navigation algorithm design, including parameter and state estimate methods, linear fusion, centralized and distributed fusion, observability analysis, Monte Carlo technology, and linear covariance analysis. In turn, the application part (Part II) focuses on autonomous navigation algorithm design for different phases of deep space missions, which involves multiple sensors, such as inertial measurement units, optical image sensors, and pulsar detectors. By concentrating on the relationships between estimation theory and autonomous navigation systems for spacecraft, the book bridges the gap between theory and practice. A wealth of helpful formulas and various types of estimators are also included to help readers grasp basic estimation concepts and offer them a ready-reference guide.
001431698 650_0 $$aNavigation (Astronautics)
001431698 650_0 $$aAutomated vehicles.
001431698 650_6 $$aNavigation (Astronautique)
001431698 650_6 $$aVéhicules autonomes.
001431698 655_0 $$aElectronic books.
001431698 7001_ $$aWang, Dayi.
001431698 7001_ $$aLi, Maodeng.
001431698 7001_ $$aHuang, Xiangyu.
001431698 7001_ $$aZhang, Xiaowen.
001431698 77608 $$iPrint version:$$z9811548781$$z9789811548789$$w(OCoLC)1147907652
001431698 830_0 $$aSpace science and technologies.
001431698 852__ $$bebk
001431698 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-4879-6$$zOnline Access$$91397441.1
001431698 909CO $$ooai:library.usi.edu:1431698$$pGLOBAL_SET
001431698 980__ $$aBIB
001431698 980__ $$aEBOOK
001431698 982__ $$aEbook
001431698 983__ $$aOnline
001431698 994__ $$a92$$bISE