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Performance Evaluation and Analysis for Gravity Matching Aided Navigation
Lin Wu1, Hubiao Wang2, Hua Chai3
1State Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China. wulin1108@gmail.com.
Sensors (Basel, Switzerland)
|April 6, 2017
Summary
Gravity matching aided navigation (GMAN) performance was evaluated using simulations. Higher gravity database resolution and measurement accuracy improve positioning accuracy, with key factors identified for optimal GMAN performance.
Area of Science:
- Geophysics
- Navigation Systems
- Satellite Altimetry
Background:
- Gravity matching aided navigation (GMAN) offers potential for precise positioning.
- Evaluating GMAN performance requires understanding key influencing factors.
Purpose of the Study:
- To quantitatively assess the performance of GMAN through simulation.
- To identify critical factors affecting GMAN accuracy and propose achievable targets.
Main Methods:
- Simulations using marine gravity anomaly databases derived from satellite altimetry.
- Analysis focused on gravity database resolution, measurement fitting, sample numbers, and gravity changes.
- Parameters were designed referencing actual gravimetry accuracy and operating conditions.
Main Results:
- Improved gravity database resolution, gravimetry accuracy, and measurement samples generally enhance positioning accuracy.
- The interrelation and differential impact of these factors on GMAN performance were verified.
- Specific conditions to achieve typical GMAN positioning accuracy targets were determined.
Conclusions:
- GMAN positioning accuracy is sensitive to database resolution, measurement quality, and data volume.
- Understanding these factors allows for optimization and achievement of desired navigation performance.
- Various strategies were proposed to enhance GMAN positioning accuracy for different system requirements.