GPS Aided Inertial Navigation System
Mukesh Kumar Maheshwari1, Shah Najmus Saqib Mahmood2, Md Hussain3, Aurangzeb Rashid Masud4
1Mukesh Kumar Maheshwari, Lecturer, Department of Electrical Engineering, Bahria University Karachi Campus, Pakistan.
2Shah Najmus Saqib, Assistant Professor Department of Electrical Engineering, Bahria University Karachi Campus, Pakistan.
3Muhammad Hussain, Lecturer Department of Electrical Engineering, Bahria University Karachi Campus, Pakistan.
4Aurangzeb Rashid Masud, Lecturer Department of Electrical Engineering, Bahria University Karachi Campus, Pakistan.
Manuscript received on 21 November 2013 | Revised Manuscript received on 28 November 2013 | Manuscript published on 30 November 2013 | PP: 22-26 | Volume-2 Issue-5, November 2013 | Retrieval Number: E0844112513/2013©BEIESP
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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 will focus on the integration of GPS and Inertial Navigation Systems (INS). The measurements are acquired through Inertial Measurement Unit (IMU), which determine the position, velocities and rotations at roll, yaw and pitch axis respectively. Usually IMU’s are very expensive, but here we have used low cost IMU and by low cost it means low performance as well. This is the main reason of introducing GPS to provide stability and feedback to the system. It is observed from the results that the errors of GPS are above 8 meters. These errors are reduced up to 2-3 meters by combining Inertial Navigation System with GPS.
Keywords: GPS, INS, Kalman Filter.
Scope of the Article: Remote Sensing, GIS and GPS