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Abstract: Increasing GPS precision at low cost has always been a challenge for themanufacturers of the GPS receivers. This paper proposes the use of a Wienerfilter for increasing precision in substitution of traditional GPS-INS fusionsystems, which require expensive inertial systems. In this paper, we firstimplement and compare three GPS signal processing schemes: a Kalman filter, aneural network and a Wiener filter and compare them in terms of precision andthe processing time. To further reduce the processing time of Wiener filter, wepropose parallel and reduced-length implementations. Finally, we calculate thesampling frequency that would be required in every Wiener scheme in order toobtain the same total processing time as the Kalman filter and the neuralnetwork.



Author: J. Garcia, C. Zhou

Source: https://arxiv.org/







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