GPS Estimation using Kalman Filter |
Author(s): |
| Sher Muhammad , Mehran University of Engineering and Technology, Jamshoro; Noor-u-zaman Laghari, Mehran University of Engineering and Technology, Jamshoro; Muhammad Ali, Sindh University, Jamshoro; Muhammad Farrukh, Isra University, Hyderabad |
Keywords: |
| GPS, Kalman Filter |
Abstract |
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GPS is the most enhanced satellite Technology in the world which gives location of a person who has GPS receiver. But there accuracy is not uniform which varying over day time and place. Buildings could reflect or block signal, atmosphere delay, satellite clock and orbit errors introduce bias. There sources of error affecting GPS positioning. Nowadays various android smartphones have built-in GPS receiver. But various cheap and low cost android phone has low cost GPS receiver which degrade the quality of GPS data. Various algorithm can be used to filter the GPS location. In this research we use Kalman Filter to reduce the error of GPS location in latitude and longitude. After applying the Kalman Filter algorithm the results show the reduction in the noise and improved location accuracy. |
Other Details |
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Paper ID: IJSRDV6I60345 Published in: Volume : 6, Issue : 6 Publication Date: 01/09/2018 Page(s): 692-694 |
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