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dc.contributor.authorRocadenbosch Burillo, Francisco
dc.contributor.authorVázquez Grau, Gregorio
dc.contributor.authorComerón Tejero, Adolfo
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2016-12-12T13:26:11Z
dc.date.issued1998-10
dc.identifier.citationRocadenbosch, F., Vazquez, G., Comeron, A. Adaptive filter solution for processing lidar returns: optical parameter estimation. "Applied optics", Octubre 1998, vol. 37, núm. 30, p. 7019-7034.
dc.identifier.issn0003-6935
dc.identifier.urihttp://hdl.handle.net/2117/98016
dc.description.abstractJoint estimation of extinction and backscatter simulated profiles from elastic-backscatter lidar return signals is tackled by means of an extended Kalman filter (EKF). First, we introduced the issue from a theoretical point of view by using both an EKF formulation and an appropriate atmospheric stochastic model; second, it is tested through extensive simulation and under simplified conditions; and, finally, a first real application is discussed. An atmospheric model including both temporal and spatial correlation features is introduced to describe approximate fluctuation statistics in the sought-after atmospheric optical parameters and hence to include a priori information in the algorithm. Provided that reasonable models are given for the filter, inversion errors are shown to depend strongly on the atmospheric condition (i.e., the visibility) and the signal-to-noise ratio along the exploration path in spite of modeling errors in the assumed statistical properties of the atmospheric optical parameters. This is of advantage in the performance of the Kalman filter because they are often the point of most concern in identification problems. In light of the adaptive behavior of the filter and the inversion results, the EKF approach promises a successful alternative to present-day nonmemory algorithms based on exponential-curve fitting or differential equation formulations such as Klett’s method.
dc.format.extent16 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshTelecommunication
dc.titleAdaptive filter solution for processing lidar returns: optical parameter estimation
dc.typeArticle
dc.subject.lemacTelecomunicació
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.contributor.groupUniversitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions
dc.identifier.doi10.1364/AO.37.007019
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.osapublishing.org/ao/abstract.cfm?uri=ao-37-30-7019&origin=search
dc.rights.accessRestricted access - publisher's policy
drac.iddocument1642438
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorRocadenbosch, F., Vazquez, G., Comeron, A.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameApplied optics
upcommons.citation.volume37
upcommons.citation.number30
upcommons.citation.startingPage7019
upcommons.citation.endingPage7034


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