2011
DOI: 10.1061/(asce)as.1943-5525.0000056
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Error Analysis and Cycle-Slip Detection Research on Satellite-Borne GPS Observation

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Cited by 26 publications
(16 citation statements)
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“…For the integrity monitoring of carrier-phase data, various studies can already be found in the literature. For dual-frequency GPS data, for instance, methods of carrier phase-slip detection are discussed and tested in (Lipp and Gu 1994;Mertikas and Rizos 1997;Blewitt 1998;Teunissen 1998a;Gao and Li 1999;Jonkman and de Jong 2000;Bisnath and Langley 2000;Bisnath et al 2001;Liu 2010;Miao et al 2011). More recent studies on triple-frequency carrier phase-slip detection can be found in (Fan et al 2006;Dai et al 2009;Wu et al 2010;De Lacy et al 2011;Xu and Kou 2011;Fan et al 2011).…”
Section: Introductionmentioning
confidence: 99%
“…For the integrity monitoring of carrier-phase data, various studies can already be found in the literature. For dual-frequency GPS data, for instance, methods of carrier phase-slip detection are discussed and tested in (Lipp and Gu 1994;Mertikas and Rizos 1997;Blewitt 1998;Teunissen 1998a;Gao and Li 1999;Jonkman and de Jong 2000;Bisnath and Langley 2000;Bisnath et al 2001;Liu 2010;Miao et al 2011). More recent studies on triple-frequency carrier phase-slip detection can be found in (Fan et al 2006;Dai et al 2009;Wu et al 2010;De Lacy et al 2011;Xu and Kou 2011;Fan et al 2011).…”
Section: Introductionmentioning
confidence: 99%
“…In the GNSS measurement observation, the Doppler counter's whole-week count is temporarily interrupted, and the part of the carrier phase observation with system deviation and less than one full week remains the correct phenomenon, called the cycle slip (Miao, Y., 2011). The cycle slip ratio is a method of statistics by observing the proportion of observable data in weekly epochsz (Tian, Q., 2017).…”
Section: Cycle Slip Ratio Analysismentioning
confidence: 99%
“…In integration of the ionospheric total electron contents rate and Melbourne-Wübbena (MW) linear combination, one algorithm was proposed to uniquely identify the cycle slip on both L1 and L2 frequencies (Liu, 2011). A weighted factor which is tightly related to the GPS satellite elevation angle was introduced in the cycle slip identification process and a modified TurboEdit algorithm (Blewitt, 1990) was proposed (Miao et al, 2010). A Forward and Backward Moving Window Averaging (FBMWA) scheme and a Second-order, Time-difference Phase Ionospheric Residual (STPIR) scheme were integrated to jointly detect and identify cycle slip (Cai et al, 2013).…”
Section: Introductionmentioning
confidence: 99%