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Research on SINS/GPS and SINS/CNS Integrated Navigation Systems

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ABSTRACT

Contents

ABBREVIATIONS

1 Introduction

SINS/GPS Navigations

Development Status of SINS

Overview on GNSS

MIMU-SINS/GPS Integration

SINS/CNS Navigations

Previous Research and Limitations

Research Contents and Objectives

Chapter Summary

2 Principles of Strapdown Inertial Navigating Syst

Coordinate Frames

All coordinate frames employed in this dissertatio

Earth Centered Inertial Frame

Earth Centred Earth Fixed Frame

Navigation Frame

Body Frame

Local Horizon Line of Sight

Earth Model

Gravity and Gravitation

Radii of Curvature

Coordinate Transformations

Inertial to Earth Frame

Earth and Navigation Frames

Inertial to Navigation Frame

Navigation and Body Frames

Navigation Frame to LOS

Rotation Vector and Quaternions

SINS Mechanization Equations

SINS Updating Algorithms

Attitude Updating Model

Velocity Updating Algorithm

Position Update Algorithm

SINS Error Dynamics

Attitude Error Model

Velocity Error Model

Position Error Model

Gyro Error Model

The main error sources in the measurements of gyro

Accelerometer Error Model

SINS Error Model in State Space Form

Chapter Summary

3 Fundamentals of GPS, CNS and Kalman Filtering

GPS Observables

The essential GPS observables are time, pseudorang

GPS Time

GPS time is the time scale to which the GPS signal

Pseudorange Measurement

Carrie Phase Measurements

Attitude Estimation from GPS Measurements

Fundamentals of CNS

J2000.0 Coordinate System

Time Reference

Star Coordinates Transformation

3.2.3.2 Standards of Fundamental Astronomy

Kalman Filtering

Least Square Method

Kalman Filter Algorithm

Kalman Filter Performance

Adaptive Kalman Filtering

Chapter Summary

4 Integration of MEMS-SINS/GPS System

GPS Clock Error Model

Lever Arm Effect

Where is the state vec

Loosely Coupled Model

Process Model

No GPS states are included in the loosely integrat

Measurement Model

In loosely coupled SINS/GPS architecture, the meas

Tightly Coupled Integration

Process Model

Measurement Model

Adaptive Kalman Filtering for SINS/GPS

Field Test and Results

Chapter Summary

5 SINS/CNS Integration Algorithms and Simulations

Error Frames

True Frame

Computer Frame

Platform Frame

SINS and NFOV Star Tracker Integration

SINS and WFOV Star Sensor Integration

Kalman Filtering for SINS/CNS

Simulation and Results

Trajectory Simulation

Star Catalog Development

SINS/CNS Initial Alignment at Static Base

Airborne SINS/CNS Simulations

Results Discussion

Chapter Summary

CONCLUSIONS

Conclusions

REFERENCES

PUBLICATIONS

ACKNOWLEDGEMENTS

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