航天器多源信息融合自主导航技术 自然科学 王大轶 等
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库存5件
北京丰台
认证卖家担保交易快速发货售后保障
作者王大轶 等
出版社北京理工大学出版社
ISBN9787568290081
出版时间2020-09
版次1
装帧平装
开本16
页数364页
字数408千字
定价126元
货号xhwx_1202219331
上书时间2025-01-02
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目录：
1 introduction
1.1 autonomous navigation technology
1.1.1 inertial navigation
1.1.2 autonomous optical navigation
1.1.3 autonomous pulsar-based navigation
1.2 multi-source information fusion technology
1.2.1 definition of multi-source information fusion
1.2.2 classification of multi-source information fusion technologies
1.2.3 multi-source information fusion methods
1.3 autonomous navigation technology based on multi-source information fusion
1.3.1 research and application progress
1.3.2 necessity and advantages
1.4 outline
references
2 point estimation theory
2.1 basic concepts
2.2 mon parameter estimators
2.2.1 mmse estimation
2.2.2 ml estimator
2.2.3 mamum a teriori(map)estimator
2.2.4 weight least-square(wls)estimator
2.3 closed form parameter estimators
2.3.1 linear estimator
2.3.2 mmse estimator for jointly gaussian distribution
2.3.3 estimation algorithms for linear measurement equation
2.4 state estimation algorithms in dynamic systems
2.4.1 recursive bayesian estimation
2.4.2 kalman filtering
2.4.3 extended kalman filtering
2.4.4 unscented kalman filtering
2.4.5 constrained kalman filtering
2.5 brief summary
references
……
3 estimation fusion algorithm
4 performance analysis
5 time and coordinate systems
6 dynanuc 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
appendix
内容简介：
thi book introduce reader to the fundamental of etimation and dynamical ytem theoryand their application in the field of multiource information fued autonomou navigation for pacecraft.the content i divided into two part:theory and application.the theory part(part i)cover the mathematical background of navigation algorithm deigninclu parameter and tate etimate methodlinear fuioncentralized and ditributed fuionobervability analyimonte carlo technologyand linear covariance analyi.in turnthe application part(part ii)focue on autonomou navigation algorithm deign for different phae of deep pace miionwhich involve multiple enoruch a inertial meaurement unitoptical image enorand pular detector.by concentrating on the relationhi between etimation theory and autonomou navigation ytem for pacecraftthe book bridge the gap between theory and practice.a wealth of helpful formula and variou type of etimator are alo included to help reader grap baic etimation concept and offer them a ready reference guide.
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