Low-noise MEMS Sensors for GPS data |
Lachezar Hristov, Emil Iontchev, Rosen Miletiev and Petar Kapanakov Lachezar Hristov is with the Faculty of Telecommunications and Electrical Equipment in Transport “Todor Kableshkov†University of Transport 158 Geo Milev Str, Sofia 1574, Bulgaria., Rosen Miletiev is with the Faculty of Telecommunications at Technical |
Abstract: To get perfect navigational data for positions, speed, acceleration and direction we applied a wavelet-based algorithm. This algorithm is used to reduce noise obtained from MEMS-based sensors. The treatment to limit the different random errors with signals is used to get low-cost MEMS sensors. GPS data is used to experiment with the introduced algorithm. |
Keywords: Wavelet Transform, Denoising, Inertial Sensors Low-noise MEMS Sensors for GPS data |
DOI:https://doi.org/10.6025/jio/2023/13/2/53-61 |
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References: [1] Iontchev, E. Algorithm for denoising parameters selection with wavelets, Elektrotechnica & Elektronica E+E, Vol. 47 No 3- 4/2012, pp 37. |