Abstract
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
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