Efficiency of Different Filters in Removing Noise from GPS Data
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 6, June 2014

Efficiency of Different Filters in Removing Noise from GPS Data

Pratibha Singh, Shivnandan Singh

This paper concentrates on display and removal of errors like ionospheric delays; environmental delays; tropospheric deferrals; Multipath impacts and weakening of accuracy and so forth; influencing the GPS signals as they come out from satellite to client on Earth. The distortions occur because of the delayed transference of signals from sending to receiving end which eventually corrupts the proficiency and correctness of signals. Here; we have attempted to enhance the precision of GPS positioning by separating out the noise in the GPS signals by using Kalman Filter and Complementary Filter. A comparative analysis is done between Kalman Filter and Complementary Filter respectively.

Keywords: Mean error, Noise covariance, GPS, GSM, Sensor

Edition: Volume 3 Issue 6, June 2014

Pages: 603 - 607

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How to Cite this Article?

Pratibha Singh, Shivnandan Singh, "Efficiency of Different Filters in Removing Noise from GPS Data", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=201498, Volume 3 Issue 6, June 2014, 603 - 607

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