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dc.contributor.authorPíšová, Petra
dc.contributor.authorChod, Jiří
dc.date.accessioned2016-07-12T07:02:22Z
dc.date.available2016-07-12T07:02:22Z
dc.date.issued2015
dc.identifier.citationAdvances in electrical and electronic engineering. 2015, vol. 13, no. 1, p. 22-29 : ill.cs
dc.identifier.issn1336-1376
dc.identifier.issn1804-3119
dc.identifier.urihttp://hdl.handle.net/10084/111826
dc.description.abstractThis paper presents one of the solutions to the problem of multipath propagation and effects on Global Navigation Satellite Systems (GNSS) signals in urban canyons. GNSS signals may reach a receiver not only through Line-of-Sight (LOS) paths, but they are often blocked, reflected or diffracted from tall buildings, leading to unmodelled GNSS errors in position estimation. Therefore in order to detect and mitigate the impact of multipath, a new ray-tracing model for simulation of GNSS signals reception in urban canyons is proposed - based on digital 3D maps information, known positions of GNSS satellites and an assumed position of a receiver. The model is established and validated using experimental, as well as real data. It is specially designed for complex environments and situations where positioning with highest accuracy is required - a typical example is navigation for blind people.cs
dc.format.extent9720040 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoencs
dc.publisherVysoká škola báňská - Technická univerzita Ostravacs
dc.relation.ispartofseriesAdvances in electrical and electronic engineeringcs
dc.relation.urihttp://dx.doi.org/10.15598/aeee.v13i1.1291cs
dc.rights© Vysoká škola báňská - Technická univerzita Ostrava
dc.rightsCreative Commons Attribution 3.0 Unported (CC BY 3.0)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject3D buildings modelscs
dc.subjectblind navigationcs
dc.subjectGNSS signal propagationcs
dc.subjectLOScs
dc.subjectmultipathcs
dc.subjectpath delay estimationcs
dc.subjecturban canyonscs
dc.titleDetection of GNSS signals propagation in urban canyos using 3D city modelscs
dc.typearticlecs
dc.identifier.doi10.15598/aeee.v13i1.1291
dc.rights.accessopenAccess
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs


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