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Computational time reduction for sequential batch solutions in GNSS precise point positioning technique

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Computational time reduction for sequential batch solutions in GNSS precise point positioning technique

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dc.contributor.author Martín Furones, Ángel Esteban es_ES
dc.contributor.author Anquela Julián, Ana Belén es_ES
dc.contributor.author Dimas-Pagés, Alejandro es_ES
dc.contributor.author Cos-Gayón López, Fernando José es_ES
dc.date.accessioned 2018-06-07T04:27:54Z
dc.date.available 2018-06-07T04:27:54Z
dc.date.issued 2017 es_ES
dc.identifier.issn 0098-3004 es_ES
dc.identifier.uri http://hdl.handle.net/10251/103501
dc.description.abstract [EN] Precise point positioning (PPP) is a well established Global Navigation Satellite System (GNSS) technique that only requires information from the receiver (or rover) to obtain high-precision position coordinates. This is a very interesting and promising technique because eliminates the need for a reference station near the rover receiver or a network of reference stations, thus reducing the cost of a GNSS survey. From a computational perspective, there are two ways to solve the system of observation equations produced by static PPP either in a single step (so-called batch adjustment) or with a sequential adjustment/filter. The results of each should be the same if they are both well implemented. However, if a sequential solution (that is, not only the final coordinates, but also those observed in previous GNSS epochs), is needed, as for convergence studies, finding a batch solution becomes a very time consuming task owing to the need for matrix inversion that accumulates with each consecutive epoch. This is not a problem for the filter solution, which uses information computed in the previous epoch for the solution of the current epoch. Thus filter implementations need extra considerations of user dynamics and parameter state variations between observation epochs with appropriate stochastic update parameter variances from epoch to epoch. These filtering considerations are not needed in batch adjustment, which makes it attractive. The main objective of this research is to significantly reduce the computation time required to obtain sequential results using batch adjustment. The new method we implemented in the adjustment process led to a mean reduction in computational time by 45%. es_ES
dc.description.sponsorship This research was supported by the Spanish Science and Innovation Directorate project number AYA2010-18706 and the Generalitat Valenciana Geronimo Forteza research program with project number FPA/2014/056. en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation MINISTERIO DE ECONOMIA INDUSTRIA Y COMPETITIVIDAD /AYA2010-18706 es_ES
dc.relation GENERALITAT VALENCIANA/FPA/2014/056 es_ES
dc.relation.ispartof Computers & Geosciences es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Precise point positioning es_ES
dc.subject Batch processing es_ES
dc.subject Computational time reduction es_ES
dc.subject.classification CONSTRUCCIONES ARQUITECTONICAS es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.title Computational time reduction for sequential batch solutions in GNSS precise point positioning technique es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.cageo.2017.03.023 es_ES
dc.rights.accessRights Abierto es_ES
dc.date.embargoEndDate 2019-08-01 es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Construcciones Arquitectónicas - Departament de Construccions Arquitectòniques es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria es_ES
dc.description.bibliographicCitation Martín Furones, ÁE.; Anquela Julián, AB.; Dimas-Pagés, A.; Cos-Gayón López, FJ. (2017). Computational time reduction for sequential batch solutions in GNSS precise point positioning technique. Computers & Geosciences. 105:34-42. doi:10.1016/j.cageo.2017.03.023 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.cageo.2017.03.023 es_ES
dc.description.upvformatpinicio 34 es_ES
dc.description.upvformatpfin 42 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 105 es_ES
dc.relation.pasarela S\338387 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES


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