Investigating RTK using Geostationary Satellites and IRNSS

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dc.contributor.advisorO'Keefe, Kyle Patrick Gordon
dc.contributor.authorBhandari, Vimalkumar
dc.contributor.committeememberDetchev, Ivan Denislavov
dc.contributor.committeememberO'Keefe, Kyle Patrick Gordon
dc.contributor.committeememberEl-Sheimy, Naser M
dc.contributor.committeememberGao, Yan
dc.contributor.committeememberMessier, Geoffrey
dc.contributor.committeememberMacabiau, Christophe
dc.date.accessioned2017-09-20T15:49:23Z
dc.date.available2017-09-20T15:49:23Z
dc.date.issued2017
dc.date.submitted2017en
dc.description.abstractThe IRNSS and SBAS constellations have geostationary satellites in the space segment. Geostationary satellites provide additional observations and are always visible to a given user. However, due to their small line-of-sight velocities, geostationary satellites have two unique challenges: Doppler collision and observability, both of which can affect their use in an RTK solution. The first phase of this research is aimed at understanding Doppler collision. It is a unique phenomenon in GNSS where tracking errors are introduced in the measurements due to cross-correlation between two or more satellites. Doppler collisions affect geostationary satellites for longer durations and the error resembles code multipath. If not mitigated, Doppler collision could have an impact on the ability to use code measurements of geostationary satellites in RTK positioning. This research describes likely conditions for Doppler collision, derives a Doppler collision error envelope for geostationary pseudorange measurements, and then demonstrates the effect using simulated and live signals. The second phase of this research presents the effect of Doppler collision on an RTK solution using geostationary satellites, with emphasis on ambiguity convergence time. Multiple mitigation techniques such as de-weighting of geostationary observations and use of narrow correlator are proposed to reduce the impact of Doppler collision. iii The third phase talks about the observability of a geostationary satellite. The relatively static nature of geostationary satellites leads to poor observability and has a direct impact on the convergence of ambiguities. The poor observability can limit the use of standalone constellations such as IRNSS in an RTK solution. Finally, an investigation is conducted on both hardware-simulated and live data of IRNSS to understand the impact of Doppler collision and observability. Mitigation methods are applied, and the improvement in the code measurement error and the convergence of ambiguities is presented. Overall, this thesis is aimed at addressing some of the key issues arising from the use of geostationary satellites in an RTK solution so that a multi-constellation RTK solution progresses one step closer to the possibility of an all-constellation RTK solution, including IRNSS.en_US
dc.identifier.citationBhandari, V. (2017). Investigating RTK using Geostationary Satellites and IRNSS (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/26634en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/26634
dc.identifier.urihttp://hdl.handle.net/11023/4119
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectEngineering--Electronics and Electrical
dc.subject.otherIRNSS
dc.subject.otherGeostationary Satellites
dc.subject.otherRTK
dc.subject.otherDoppler Collision
dc.subject.otherObservability
dc.subject.otherNAVIC
dc.subject.otherAmbiguity Resolution
dc.titleInvestigating RTK using Geostationary Satellites and IRNSS
dc.typedoctoral thesis
thesis.degree.disciplineGeomatics Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.item.requestcopytrue
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