High-Sensitivity GPS Data Classification Based on Signal Degradation Conditions

Author

Wang, Jau-Hsiung ; Gao, Yang

Author_Institution

Dept. of Geomatics Eng., Calgary Univ., Alta.

Volume

56

Issue

2

fYear

2007

fDate

3/1/2007 12:00:00 AM

Firstpage

566

Lastpage

574

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

Keywords

Global Positioning System; fuzzy reasoning; GPS-signal quality; fuzzy inference system; geo-signal degradation measures; geometry information; global positioning system; high-sensitivity GPS data classification; Availability; Degradation; Diffraction; Extraterrestrial measurements; Fuzzy systems; Global Positioning System; Measurement errors; Radio navigation; Satellite broadcasting; Satellite navigation systems; Data classification; fuzzy system; high-sensitivity global positioning system (GPS);

fLanguage

English

Journal_Title

Vehicular Technology, IEEE Transactions on

Publisher

ieee

ISSN

0018-9545

Type

jour

DOI

10.1109/TVT.2007.891492

Filename

4138028