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A SINS/SRS/GNS Autonomous Integrated Navigation System Based on Spectral Redshift Velocity Measurements
Wenhui Wei1,2, Zhaohui Gao3, Shesheng Gao4
1School of Automatics, Northwestern Polytechnical University, 710072 Xi'an, China. cancer1410@mail.nwpu.edu.cn.
Sensors (Basel, Switzerland)
|April 13, 2018
Summary
A new autonomous navigation system integrates Strapdown Inertial Navigation System (SINS), Spectral Redshift (SRS), and Geomagnetic Navigation System (GNS) for enhanced reliability and autonomy in navigation technology.
Area of Science:
- Navigation Systems Engineering
- Astrophysics
- Geophysics
Background:
- Current navigation systems require enhanced autonomy and reliability for advanced applications.
- Spectral redshift from celestial bodies offers a novel method for speed measurement.
- Geomagnetic navigation provides an additional independent data source.
Purpose of the Study:
- To design and validate a novel autonomous integrated navigation system.
- To combine Strapdown Inertial Navigation System (SINS), Spectral Redshift (SRS), and Geomagnetic Navigation System (GNS).
- To address the need for robust and reliable autonomous navigation solutions.
Main Methods:
- Development of a SINS/SRS/GNS integrated navigation system.
- Exploration of the system's operational principles.
- Establishment of a comprehensive mathematical model.
- Proposal of a robust adaptive central difference particle filtering algorithm.
Main Results:
- The integrated SINS/SRS/GNS system demonstrated significant autonomy.
- The system exhibited strong robustness against potential errors or interferences.
- High reliability was achieved through the synergistic combination of navigation methods.
- Simulation experiments validated the system's performance.
Conclusions:
- The SINS/SRS/GNS integrated navigation system offers a viable new solution for autonomous navigation.
- The proposed filtering algorithm enhances the system's performance.
- The system meets critical requirements for autonomy and reliability in navigation.
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