Performance of GPS Stochastic Modeling for Forest Environment

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dc.authoridErenoğlu, Ramazan Cüneyt / 0000-0002-8212-8379
dc.contributor.authorErenoğlu, Ramazan Cüneyt
dc.date.accessioned2025-01-27T20:11:45Z
dc.date.available2025-01-27T20:11:45Z
dc.date.issued2012
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractThe Global Positioning System (GPS) now makes it possible to define forest boundaries using double differenced carrier phase observables. They are mostly processed with algorithms based on the Least-Squares Estimation (LSE). Although GPS was completely developed for outdoor navigation, sometimes it can be used in near/under tree or building shading. In such a case, before applying the LSE, both the functional and stochastic models should be properly defined in order to obtain reliable positioning. While the functional model for precise GPS positioning is sufficiently well known, realistic stochastic modeling is still a difficult task to accomplish in the case of unfavorable conditions. This paper analyzes the achievable efficiency of the stochastic modeling for the positioning near/under the forest. A static campaign was performed at two surveying sites that have been established near the effect of tree shading. The experiments show the efficiency of stochastic models depending on the forest. It is clear that sigma-e and sigma-A models give optimum solutions for the sites located near the tree canopy. Moreover, weighting procedures based on the C/N0 values can successfully cope with the corruptive effects caused by the tree canopy. As a result, a proper stochastic model for carrier phase observables should be used as an important tool in parameter estimation for handling multipath effect and signal distortion caused by the forest canopy.
dc.identifier.endpage301
dc.identifier.issn1845-5719
dc.identifier.issue2
dc.identifier.scopus2-s2.0-84867482609
dc.identifier.scopusqualityQ1
dc.identifier.startpage285
dc.identifier.urihttps://hdl.handle.net/20.500.12428/20706
dc.identifier.volume33
dc.identifier.wosWOS:000310866000009
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherZagreb Univ, Fac Forestry
dc.relation.ispartofCroatian Journal of Forest Engineering
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20250125
dc.subjectGPS
dc.subjectforest
dc.subjectefficiency
dc.subjectstochasticity
dc.subjectweighting
dc.titlePerformance of GPS Stochastic Modeling for Forest Environment
dc.title.alternativeSvojstva stohasti?koga modeliranja GPS-ovih podataka u šumskim podru?jima
dc.typeArticle

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