2012
DOI: 10.14569/ijacsa.2012.030820
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Techniques to improve the GPS precision

Abstract: Abstract-The accuracy of a standard market receiver GPS (Global Positioning System) is near 10-15 meters the 95% of the times. To reach a sub-metric level of accuracy some techniques must be used [1]. This article describes some of these procedures to improve the positioning accuracy by using a low-cost GPS in a differential relative positioning way. The proposed techniques are some variations of Kalman, fuzzy logic and information selection.

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Cited by 23 publications
(14 citation statements)
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“…Various positioning methods are use like differential GPS (DGPS), the RTK-GPS positioning, and the virtual reference point method…etc. [14], [15].…”
Section: Types Of Gps Positioning Methodsmentioning
confidence: 99%
“…Various positioning methods are use like differential GPS (DGPS), the RTK-GPS positioning, and the virtual reference point method…etc. [14], [15].…”
Section: Types Of Gps Positioning Methodsmentioning
confidence: 99%
“…Its main mission is to acquire high accurate DEM and support some civil applications, such as biomass inversion, disaster forecasting, and climate and environmental monitoring [22]. The GNSS disciplining module in LuTan-1 mission employs a disciplined rubidium clock to provide a time-frequency signal for the SAR systems with high accuracy [24,[27][28][29][30]. However, the oscillator noise between the two satellites will severely degrade the performance of the LuTan-1 imaging and interference processing [13].…”
Section: Phase Synchronization Scheme Of Lutan-1mentioning
confidence: 99%
“…• DGPS (Differential GPS): network of reference stations helps the positioning up to 10 cm (requires DGPS station closer than 1000 km to the receiver) • AGPS (Assisted GPS): uses auxiliary software in order to know the exact positions of the satellites, requires active data connection • RTK (Real Time Kinematic): it provides cm-level precision by measuring the phase of the carrier wave of the signal • e-Dif (extended Differential): useful at regions where differential corrections are not available ensuring 1 m accuracy • other augmentation systems (Acosta and Toloza, 2012) There are algorithms also for successful data analysis, combining GPS signal with external aids including Wiener filter, Kalman filter, neural networks, etc. Kalman filter which is an improvement of the Wiener one has the advantage of requiring only the current measurement and state compared to Wiener filter.…”
Section: About Vts and Avl In Generalmentioning
confidence: 99%