To access the full text documents, please follow this link: http://hdl.handle.net/2117/27128

Atmospheric boundary-layer height estimation using a Kalman filter and a frequency-modulated continuous-wave radar
Lange, Diego; Rocadenbosch Burillo, Francisco; Tiana Alsina, Jordi; Frasier, Steve
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
An adaptive solution based on an Extended Kalman Filter (EKF) is proposed to estimate the Atmospheric Boundary-Layer Height (ABLH) from Frequency-Modulated Continuous-Wave (FMCW) S-band weather-radar returns. The EKF estimator departs from previous works, in which the transition interface between the Mixing-Layer (ML) and the Free-Troposphere (FT) is modeled by means of an erf-like parametric function. In contrast to lidar remote sensing where aerosols give strong backscatter returns over the whole ML, clear-air radar reflectivity returns (Bragg scattering from refractive turbulence) shows strongest returns from the ML-FT interface. In addition, they are corrupted by “insect” noise (impulsive noise associated with Rayleigh scatter ing from insects and birds), all of which requires a specific treatment of the problem and the measurement noise for the clear-air radar case. The proposed radar-ABLH estimation method uses: (i) a first pre-processing of the reflectivity returns based on median filtering and threshold-limited decision to obtain “clean” reflectivity signal, (ii) a modified EKF with adaptive range intervals as time tracking estimator, and (iii) ad-hoc modelling of the observation noise covariance. The method has successfully been implemented in clear-air, single-layer, convective boundary layer conditions. ABLH estimates from the proposed radar-EKF method have been cross-examined with those from a collocated lidar ceilometer yielding a correlation coefficient as high as rho = 0.93 (mean signal-to-noise ratio, SNR = 18 (linear units), at the ABLH) and in relation to the classic threshold method.
Peer Reviewed
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
Remote sensing
Aerosols -- Remote sensing
Adaptive kalman filtering
laser radar
remote sensing
signal processing.
Teledetecció
Aerosols -- Teledetecció
info:eu-repo/semantics/submittedVersion
Article
Institute of Electrical and Electronics Engineers (IEEE)
         

Show full item record

Related documents

Other documents of the same author

Lange, Diego; Tiana Alsina, Jordi; Saeed, Umar; Tomás Martinez, Sergio; Rocadenbosch Burillo, Francisco
Rodríguez Gómez, Alejandro Antonio; Rocadenbosch Burillo, Francisco; Sicard, Michaël; Lange, Diego; Barragán Cuesta, Rubén; Batet Torrell, Óscar; Comerón Tejero, Adolfo; López Márquez, Miguel Ángel; Muñoz Porcar, Constantino; Tiana Alsina, Jordi; Tomás Martínez, Sergio
Kumar, Dhiraj; Rocadenbosch Burillo, Francisco; Sicard, Michaël; Comerón Tejero, Adolfo; Muñoz, Constantino; Lange, Diego; Tomás Martínez, Sergio; Gregorio, Eduard
Lange, Diego; Kumar, Dhiraj; Rocadenbosch Burillo, Francisco
Kumar, Dhiraj; Lange, Diego; Rocadenbosch Burillo, Francisco; Tomas, Sergio; Sicard, Michaël; Muñoz Porcar, Constantino; Comerón Tejero, Adolfo
 

Coordination

 

Supporters