º½ÌìÆ÷¶àÔ´ÐÅÏ¢ÈÚºÏ×ÔÖ÷µ¼º½¼¼Êõ=Spacecraft Autonomous

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 Common Parameter Estimators
2£®2£®1 MMSE Estimation
2£®2£®2 ML Estimator
2£®2£®3 Maximum a Posteriori £¨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
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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