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
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
128 PDF Views | 108 PDF Downloads
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