Fine Resolution Position Estimation Using Kalman Filtering
- Resource Type
- Conference
- Authors
- Sun, Brian; Yeary, Mark; Sigmarsson, Hjalti H.; McDaniel, Jay W.
- Source
- 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Instrumentation and Measurement Technology Conference (I2MTC), 2019 IEEE International. :1-5 May, 2019
- Subject
- Bioengineering
Engineering Profession
General Topics for Engineers
Signal Processing and Analysis
Global Positioning System
Kalman filters
Position measurement
Mathematical model
Estimation
Sensors
Navigation
Inertial
GPS
Kalman
- Language
- ISSN
- 2642-2077
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.