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Fine Resolution Position Estimation Using Kalman Filtering | IEEE Conference Publication | IEEE Xplore

Fine Resolution Position Estimation Using Kalman Filtering

Publisher: IEEE

Abstract:

This paper is focused on using an inertial measurement unit (IMU) processed with the Kalman filter to provide fine resolution position estimates. The method is designed t...View more

Abstract:

This paper is focused on using an inertial measurement unit (IMU) processed with the Kalman filter to provide fine resolution position estimates. The method is designed to provide position estimates between global positioning system (GPS) position updates. The goal is to have the GPS provide position data on a course scale while the IMU data is used to estimate the position on a finer scale. By integrating both the GPS and IMU, a more precise position estimate on a fine scale can be achieved that cannot be accomplished using the sensors independently.
Date of Conference: 20-23 May 2019
Date Added to IEEE Xplore: 09 September 2019
ISBN Information:

ISSN Information:

Publisher: IEEE
Conference Location: Auckland, New Zealand

References

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