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Calibration of a rotating accelerometer gravity gradiometer using centrifugal gradients
1School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China.
The Review of Scientific Instruments
|June 6, 2018
Summary
This study presents a new calibration method for rotating accelerometer gravity gradiometers (RAGG). The method calibrates scale factors and equivalent zero biases efficiently without needing test masses.
Area of Science:
- Geophysics
- Instrument Calibration
- Gravimetry
Background:
- Rotating accelerometer gravity gradiometers (RAGG) require precise calibration for accurate measurements.
- Existing calibration methods often necessitate test masses, complicating implementation.
- Equivalent zero biases in RAGGs are influenced by intrinsic biases and self-gradients from surrounding masses.
Purpose of the Study:
- To develop and validate a novel calibration method for scale factors and equivalent zero biases of RAGGs.
- To introduce a self-gradient model accounting for surrounding mass effects and intrinsic RAGG biases.
- To establish a calibration procedure independent of external test masses.
Main Methods:
- Scale factors are calibrated by analyzing the relationship between centrifugal gradient excitation and RAGG response.
- A self-gradient model is proposed, incorporating RAGG attitude and surrounding mass parameters.
- Equivalent zero biases are calibrated by determining the parameters of the self-gradient model.
- A RAGG physical simulation system and point masses were used for calibration and validation.
Main Results:
- The proposed calibration method for scale factors is easier to implement than traditional approaches.
- Validation experiments demonstrated consistency between the self-gradient model's predictions and simulated RAGG outputs.
- The self-gradient model accurately predicts self-gradients based on RAGG attitude and surrounding mass parameters.
Conclusions:
- The presented calibration method is effective and valid for RAGGs.
- The self-gradient model successfully accounts for gravitational gradients produced by surrounding masses.
- This approach simplifies RAGG calibration by eliminating the need for test masses.
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