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Improved iterative calibration for triaxial accelerometers based on the optimal observation.

Jie Yang¹, Wenqi Wu, Yuanxin Wu

¹College of Mechanical Engineering and Automation, National University of Defense Technology, Changsha 410073, China. nudtyang@163.com

Sensors (Basel, Switzerland)

|September 13, 2012

Summary

This study introduces an iterative nonlinear calibration method for triaxial accelerometers, improving accuracy for both low-grade and high-grade devices. The method enhances estimation of calibration parameters and inclination vectors using maximum likelihood estimation.

Keywords:

iterative calibration maximum likelihood estimation nonlinear optimization triaxial accelerometers

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Area of Science:

Instrumentation and Measurement
Geophysics
Sensor Technology

Background:

Triaxial accelerometers are crucial for measuring acceleration in various applications.
Accurate calibration is essential for reliable sensor data, especially in gravitational field measurements.
Existing calibration methods may struggle with nonlinearities and require precise initial conditions.

Purpose of the Study:

To develop an improved iterative nonlinear calibration method for triaxial accelerometers.
To enhance the accuracy of estimating calibration parameters (scale factors, misalignments, biases, squared coefficients) and inclination vectors.
To provide a robust calibration technique applicable to both low-grade and high-grade accelerometers.

Main Methods:

Assumes Gaussian distribution for raw accelerometer outputs.
Derives a nonlinear criterion function using maximum likelihood estimation.
Employs iterative estimation involving linear least squares for initial parameter estimation and sequential quadratic programming for inclination vector updates.
Utilizes an optimal observation scheme based on maximum sensitivity principles.

Main Results:

Demonstrates good estimation accuracy for calibration parameters.
Achieves accurate estimation of inclination vectors.
Validated through simulations and experimental data.
Successfully calibrates both low-grade and high-grade triaxial accelerometers.

Conclusions:

The proposed iterative nonlinear calibration method offers improved accuracy for triaxial accelerometers.
The method effectively estimates key calibration parameters and inclination vectors.
It provides a robust solution for accelerometer calibration in gravitational field applications.