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A unified model for multi-frequency PPP ambiguity resolution and test results with Galileo and BeiDou triple-frequency observations

Xiao, G.; Li, P.; Gao, Y.; Heck, B.

With the modernization of Global Navigation Satellite System (GNSS), triple- or multi-frequency signals have become available from more and more GNSS satellites. The additional signals are expected to enhance the performance of precise point positioning (PPP) with ambiguity resolution (AR). To deal with the additional signals, we propose a unified modeling strategy for multi-frequency PPP AR based on raw uncombined observations. Based on the unified model, the fractional cycle biases (FCBs) generated from multi-frequency observations can be flexibly used, such as for dual- or triple- frequency PPP AR. Its efficiency is verified with Galileo and BeiDou triple-frequency observations collected from globally distributed MGEX stations. The estimated FCB are assessed with respect to residual distributions and standard deviations. The obtained results indicate good consistency between the input float ambiguities and the generated FCBs. To assess the performance of the triple-frequency PPP AR, 11 days of MGEX data are processed in three-hour sessions. The positional biases in the ambiguity-fixed solutions are significantly reduced compared with the float solutions. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000091071
Veröffentlicht am 19.02.2019
DOI: 10.3390/rs11020116
Zitationen: 23
Zitationen: 22
Cover der Publikation
Zugehörige Institution(en) am KIT Geodätisches Institut (GIK)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 2072-4292
KITopen-ID: 1000091071
Erschienen in Remote sensing
Verlag MDPI
Band 11
Heft 2
Seiten Art. Nr.: 116
Vorab online veröffentlicht am 10.01.2019
Schlagwörter Galileo, BeiDou, precise point positioning, integer ambiguity resolution, triple-frequency, fractional cycle bias
Nachgewiesen in Dimensions
Web of Science
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