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Fast AHRS Filter for Accelerometer, Magnetometer, and Gyroscope Combination with Separated Sensor Corrections.

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A novel predictor-corrector filter enhances attitude and heading reference systems (AHRS) using MEMS sensors. This new filter offers improved accuracy and lower computational cost compared to existing methods.

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Area of Science:

  • Robotics
  • Sensor Fusion
  • Navigation Systems

Background:

  • Attitude and heading reference systems (AHRS) are crucial for navigation and control.
  • Existing AHRS filters often face challenges with accuracy and computational efficiency, especially when using low-cost sensors.
  • Microelectromechanical systems (MEMS) sensors offer a cost-effective solution but require sophisticated filtering techniques.

Purpose of the Study:

  • To propose a new predictor-corrector filter for AHRS.
  • To develop two variants of the filter: one for high accuracy using SO(3) operations and another for fast evaluation using linearization.
  • To compare the proposed filters against state-of-the-art methods using MEMS sensor data.

Main Methods:

  • A predictor-corrector filter structure utilizing gyroscope data for prediction and independent correction steps for accelerometer and magnetometer data.
  • Implementation of two quaternion-based filter variants: one employing special orthogonal group SO(3) operations and another using linearization.
  • Validation using data from low-cost MEMS sensors with ground truth provided by a VICON optical system.

Main Results:

  • Both proposed filter variants demonstrated superior accuracy compared to conventional methods.
  • The filters achieved this improved accuracy at a lower computational cost.
  • The SO(3) variant provided high accuracy for nonlinear operations, while the linearization variant offered fast evaluation.

Conclusions:

  • The novel predictor-correctors filters offer a significant advancement for AHRS applications.
  • These filters provide a better trade-off between accuracy and computational cost, particularly for MEMS-based systems.
  • Public availability of data and source codes facilitates further research and development in sensor fusion for AHRS.