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Frequency Domain Analysis of Partial-Tensor Rotating Accelerometer Gravity Gradiometer.

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Summary
This summary is machine-generated.

This study introduces a new model for rotating accelerometer gravity gradiometers (RAGG) to improve signal frequency analysis. The new model enhances calibration sensitivity and self-gradient compensation for RAGG development.

Keywords:
frequency domaingravity gradiometryoutput modelrotating accelerometer

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Area of Science:

  • Geophysics
  • Inertial Navigation Systems
  • Gravimetry

Background:

  • Traditional rotating accelerometer gravity gradiometer (RAGG) models struggle to capture signal frequency changes.
  • Calibration sensitivity and self-gradient compensation are critical, yet challenging, stages in RAGG development.

Purpose of the Study:

  • To develop a frequency-domain model for RAGG output influenced by surrounding masses.
  • To establish input-output models for gravity gradiometers using accelerometer data.
  • To enhance gravity gradient calculation accuracy and improve RAGG calibration.

Main Methods:

  • Established a frequency-domain model based on accelerometer outputs on a rotating disc.
  • Developed input-output models for particle, sphere, and cuboid masses using center gradient and four accelerometers.
  • Conducted numerical simulations to analyze RAGG output characteristics.

Main Results:

  • RAGG output signals, with identical accelerometer scale factors, contain specific harmonic components related to spin frequency.
  • The amplitude of the output signal is dependent on the orientation of the surrounding mass.
  • Input-output models utilizing four accelerometers demonstrate higher accuracy when the surrounding mass is in close proximity.

Conclusions:

  • The proposed model accurately calculates gravity gradients and accounts for frequency domain influences.
  • Models based on four accelerometers offer superior accuracy for nearby masses.
  • Comparative analysis of mass shapes provides insights for RAGG calibration and self-gradient compensation strategies.