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dc.contributor.authorRocadenbosch Burillo, Francisco
dc.contributor.authorSoriano Ortiz, Cecilia
dc.contributor.authorComerón Tejero, Adolfo
dc.contributor.authorBaldasano Recio, José María
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.identifier.citationRocadenbosch, F.; Soriano, C.; Comeron, A.; Baldasano, J. M. Lidar inversion of atmospheric backscatter and extinction-to-backscatter ratios by use of a Kalman filter. Applied optics, 1999, vol. 38, núm. 15, p. 3175-3189.
dc.description.abstractA first inversion of the backscatter profile and extinction-to-backscatter ratio from pulsed elastic-backscatter lidar returns is treated by means of an extended Kalman filter (EKF). The EKF approach enables one to overcome the intrinsic limitations of standard straightforward nonmemory procedures such as the slope method, exponential curve fitting, and the backward inversion algorithm. Whereas those procedures are inherently not adaptable because independent inversions are performed for each return signal and neither the statistics of the signals nor a priori uncertainties (e.g., boundary calibrations) are taken into account, in the case of the Kalman filter the filter updates itself because it is weighted by the imbalance between the a priori estimates of the optical parameters (i.e., past inversions) and the new estimates based on a minimum-variance criterion, as long as there are different lidar returns. Calibration errors and initialization uncertainties can be assimilated also. The study begins with the formulation of the inversion problem and an appropriate atmospheric stochastic model. Based on extensive simulation and realistic conditions, it is shown that the EKF approach enables one to retrieve the optical parameters as time-range-dependent functions and hence to track the atmospheric evolution; the performance of this approach is limited only by the quality and availability of the a priori information and the accuracy of the atmospheric model used. The study ends with an encouraging practical inversion of a live scene measured at the Nd:YAG elastic-backscatter lidar station at our premises at the Polytechnic University of Catalonia, Barcelona.
dc.publisherOPTICAL SOC AMER
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject.lcshOptical radar
dc.subject.lcshMeteorological optics
dc.subject.lcshKalman filtering
dc.subject.otherLight scattering
dc.subject.otherMeasurement errors
dc.subject.otherOptical radar
dc.subject.otherSolid lasers
dc.subject.otherSpatial filters
dc.subject.otherLidar inversion
dc.subject.otherAtmospheric backscatter
dc.subject.otherExtinction-to-backscatter ratios
dc.subject.otherBackscatter profile
dc.subject.otherPulsed elastic backscatter lidar returns
dc.subject.otherExtended Kalman filter
dc.subject.otherReturn signal
dc.subject.otherA priori uncertainties
dc.subject.otherBoundary calibrations
dc.subject.otherMinimum-variance criterion
dc.subject.otherCalibration errors
dc.subject.otherInitialization uncertainties
dc.subject.otherInversion problem
dc.subject.otherAtmospheric stochastic model
dc.subject.otherTime-range-dependent functions
dc.subject.otherAtmospheric evolution
dc.subject.otherA priori information
dc.subject.otherAtmospheric model
dc.subject.otherNd:YAG elastic-backscatter lidar station
dc.titleLidar inversion of atmospheric backscatter and extinction-to-backscatter ratios by use of a Kalman filter
dc.subject.lemacRadar òptic
dc.subject.lemacÒptica meteorològica
dc.subject.lemacKalman, Filtratge de
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access

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