Statistical Analysis of Accelerometer, Gyroscope with State Estimation
Ashvini Kulkarni1, Augusta Sophy Beulet P.2
1Ashvini Kulkarni, Department of Electronics Engineering, Vellore Institute of Technology, Chennai (Tamil Nadu), India.
2Augusta Sophy Bulet P, Department of Electronics Engineering, Vellore Institute of Technology, Chennai (Tamil Nadu), India.
Manuscript received on 14 December 2019 | Revised Manuscript received on 22 December 2019 | Manuscript Published on 31 December 2019 | PP: 139-143 | Volume-9 Issue-1S3 December 2019 | Retrieval Number: A10281291S319/19©BEIESP | DOI: 10.35940/ijeat.A1028.1291S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper describes the tracking of the object with the utility of a three-axis accelerometer and gyroscope for navigation. The sensor fusion is receiving enormous research interest which is used in monitoring and tracking position. For dynamic modeling, for real-time data, the perceptual mixing of the signals is required. For proper mixing of the signals, sensor fusion techniques are used. This paper presents the comparative review analysis for the three-axis accelerometer and gyroscope for linear acceleration and angular rotation.
Keywords: IMU, Kalman Filter, Sensor Fusion.
Scope of the Article: Predictive Analysis