期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2014
卷号：7
期号：3
页码：39-48
DOI：10.14257/ijhit.2014.7.3.06
出版社：SERSC
摘要：Kalman filtering is a well-established methodology used in various multi-sensor data fusion applications. In our experiment, we first obtain measurements from the accelerometer and gyroscope and fuse them using Kalman filter in an inertial measurement unit (IMU). We estimate Kalman filter output and estimation error. The affect of process noise and measurement noise on estimation error is tested. It is explored that the measurement noise has significant role to increase estimation error in the data fusion process.
关键词：Kalman filter; Data fusion; Accelerometer; Gyroscope; Process noise; Inertial ; measurement unit; Measurement noise
