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Related Experiment Video

Updated: Dec 25, 2025

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

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Self-calibration method for temperature errors in multi-axis rotational inertial navigation system.

Jingxuan Ban, Lei Wang, Zengjun Liu

|April 1, 2020

Summary

This summary is machine-generated.

This study introduces a fast self-calibration method to reduce temperature errors in inertial navigation systems. The new approach significantly cuts calibration time, improving production efficiency for navigation devices.

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Measurement of Spatial Stability in Precision Grip

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Area of Science:

Navigation Systems Engineering
Sensor Technology
Metrology

Background:

Inertial navigation systems (INS) benefit from rotation modulation, but device errors, particularly temperature-induced ones, degrade precision.
Traditional temperature model identification for INS is time-consuming, hindering efficient production and engineering applications.

Purpose of the Study:

To develop and validate a fast self-calibration method for mitigating temperature errors in INS.
To reduce the time required for temperature error calibration without compromising accuracy.

Main Methods:

A continuous rotation scheme was designed to excite 21 specific errors within 10 minutes.
Kalman Filter algorithm was employed to estimate these errors using velocity and position data.
The rotation scheme was repeated multiple times under varying temperatures to identify the temperature model.

Main Results:

The proposed fast-rotation scheme allows for a higher temperature rising rate compared to traditional methods.
Calibration time is significantly shortened, enhancing production efficiency.
Simulations and experimental results verified the effectiveness of the fast-self-calibration method.

Conclusions:

The developed fast-self-calibration method effectively reduces temperature-related errors in INS.
This technique offers a practical solution for improving navigation precision and production efficiency in engineering applications.