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High-Sensitivity GPS Data Classification Based on Signal Degradation Conditions

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2 Author(s)
Jau-Hsiung Wang ; Dept. of Geomatics Eng., Calgary Univ., Alta. ; Yang Gao

High-sensitivity global positioning system (GPS) can significantly improve system availability in signal degradation environments but is limited by low reliability. This paper presents a fuzzy inference system to classify high-sensitivity GPS data based on two geo-signal degradation measures that incorporates GPS-signal quality and geometry information. Effective and proper data classification by applying the proposed method is demonstrated through several field tests in the typical North American urban areas

Published in:

IEEE Transactions on Vehicular Technology  (Volume:56 ,  Issue: 2 )