Efficiency of Different Filters in Removing Noise from GPS Data

Pratibha Singh, Shivnandan Singh

Abstract: 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

How to Cite?: Pratibha Singh, Shivnandan Singh, "Efficiency of Different Filters in Removing Noise from GPS Data", Volume 3 Issue 6, June 2014, International Journal of Science and Research (IJSR), Pages: 603-607, https://www.ijsr.net/getabstract.php?paperid=201498, DOI: https://dx.doi.org/10.21275/201498