Science & Engineering Research Support soCiety (SERSC)
Multisensor data fusion aims to overcome the limitations of individual sensors and produce accurate, robust and reliable estimates based on multisensory information. Data fusion algorithm plays significant role in achieving reasonable performance. In this paper, the authors present an algorithm that is employed to fuse data obtained from accelerometer and gyroscope in an Inertial Measurement Unit (IMU). The proposed algorithm is developed based on decentralized data fusion notion that facilitates to study effect of noise parameter associated with individual sensors.