Title:
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Atmospheric boundary layer height monitoring using a kalman filter and backscatter lidar returns
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Author:
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Lange, Diego; Tiana Alsina, Jordi; Saeed, Umar; Tomás Martinez, Sergio; Rocadenbosch Burillo, Francisco
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
Abstract:
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A solution based on a Kalman filter to trace the evolution of the atmospheric boundary layer (ABL) sensed by a ground-based elastic-backscatter tropospheric lidar is presented. An erf-like profile is used to model the mixing-layer top and the entrainment-zone thickness. The extended Kalman filter (EKF) enables to retrieve and track the ABL parameters based on simplified statistics of the ABL dynamics and of the observation noise present in the lidar signal. This adaptive feature permits to analyze atmospheric scenes with low signal-to-noise ratios (SNRs) without the need to resort to long-time averages or range-smoothing techniques, as well as to pave the way for future automated detection solutions. First, EKF results based on oversimplified synthetic and experimental lidar profiles are presented and compared with classic ABL estimation quantifiers for a case study with different SNR scenarios. |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció -Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal -Signal processing -Remote sensing -Kalman filtering -Adaptive kalman filtering -Laser radar -Remote sensing -Signal processing -Entrainment zone thickness -Mixed-layer -Depth -Top -Area -Tractament del senyal -Teledetecció -Kalman, Filtratge de |
Rights:
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Document type:
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Article - Published version Article |
Published by:
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Institute of Electrical and Electronics Engineers (IEEE)
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