naa a22 4500 510791948 CHVBK 20180411083322.0 cr unu---uuuuu 180411e20130801xx s 000 0 eng 10.1007/s11277-012-0936-4 doi (NATIONALLICENCE)springer-10.1007/s11277-012-0936-4 De-noising of GPS Receivers Positioning Data Using Wavelet Transform and Bilateral Filtering [Elektronische Daten] [M. Mosavi, I. EmamGholipour] The need for precise position and navigation aids in many areas of industry is becoming increasingly apparent. There are many errors associated with the navigation solution of the global positioning system (GPS), including satellite ephemeris error, satellite clock error, ionospheric delay, tropospheric delay, multipath, receiver measurement error and selective availability (SA). Noise can create an error between centimeters to several meters. In this paper, the proposed technique applied to smooth noise for GPS receiver positioning data is based upon the analysis of wavelet transform (WT), bilateral filter (BF) and diffusivity function. The WT is a powerful tool of signal processing for its multiresolutional possibilities. BF is a local, non-linear and non-iterative technique. It is applied to approximation subband. We decompose a GPS positioning data into low-frequency and high-frequency components and apply BF on the approximation coefficients and diffusivity function on the detail coefficients at each decomposition level for data smoothing. A single-frequency and low-cost commercial GPS receiver manufactured by Rockwell Company is used to test our method. The experimental results on measurement data demonstrate the effectiveness of the proposed method; so that the total root mean square (RMS) error reduces to less than 0.29m with SA on and 0.15m with SA off using Daubechie wavelet. Springer Science+Business Media New York, 2012 Noise smoothing nationallicence GPS nationallicence Wavelet transform nationallicence Bilateral filter nationallicence Diffusivity function nationallicence Mosavi M. Department of Electrical Engineering, Iran University of Science and Technology, Narmak, 16846-13114, Tehran, Iran aut EmamGholipour I. Department of Electrical Engineering, Iran University of Science and Technology, Narmak, 16846-13114, Tehran, Iran aut Wireless Personal Communications Springer US; http://www.springer-ny.com 71/3(2013-08-01), 2295-2312 0929-6212 71:3<2295 2013 71 11277 https://doi.org/10.1007/s11277-012-0936-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-012-0936-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Mosavi M. Department of Electrical Engineering, Iran University of Science and Technology, Narmak, 16846-13114, Tehran, Iran aut NATIONALLICENCE 700 1- EmamGholipour I. Department of Electrical Engineering, Iran University of Science and Technology, Narmak, 16846-13114, Tehran, Iran aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 71/3(2013-08-01), 2295-2312 0929-6212 71:3<2295 2013 71 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer