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dc.contributorFaculty of Construction and Environmenten_US
dc.creatorFu, Yu-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/7436-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleImplementation of a real-time GPS cycle slips detection and correction algorithm with single dual-frequency receiveren_US
dcterms.abstractDuring the past twenty years, the application of GPS surveying techniques greatly benefited the development of the surveying engineering, especially for the high accuracy applications like real time kinematic (RTK) and precise point positioning (PPP) which implement carrier phase observations as the main measurements for positioning can easily achieve a precision of centimeter to millimeter level. However, the precision of carrier phase observation will be degraded by the occurrence of cycle slips in the event of loss of lock and each cycle of slip can easily bring in a range error of ~20cm to the L1 measurements. Liu (2010) developed a new real time automated cycle slip detection and repair method based on ionospheric total electron contents rate (TECR) and Melbourne-Wubbena wide lane (MWWL) linear combination to uniquely determine the cycle slip on both L1 and L2 frequencies. In this dissertation, several tests showed that his method may have some problems in the event of high noise level of wide lane ambiguities and rapid ionospheric variation. To solve these problems and develop a more robust and effective method for cycle slips detection and correction, a modified method is proposed by combining his method and a second-order differencing carrier phase. The proposed approach has been tested by six different datasets collected under different levels of ionospheric activities with both simulated cycle slips and real cycle slips. The results show that this method is very effective in cycle slips detection and correction even under high ionospheric activities.en_US
dcterms.extentviii, 94 leaves : ill. (some col.) ; 30 cm.en_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2014en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHGlobal Positioning Systemen_US
dcterms.LCSHGlobal Positioning System -- Mathematical modelsen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/7436