Weather events represent volumetric radar targets and they can be described only in a statistical way. To perform a proper analysis we must therefore use descriptors of the second order, such as the covariance or the coherence matrix, equivalent from the polarimetric point of view. In this paper we present a method to extract information from weather radar data based on Incoherent Target Decomposition techniques (ICTD). The proposed method represents an alternative to the classical methods based on radar reflectivity. The proposed technique is based on the decomposition of the covariance matrix estimated from the received polarimetric radar signal.
Quantitative analysis of incoherent polarimetric decomposition techniques for weather radar data / Lupidi, Alberto; Lischi, Stefano; Cuccoli, Fabrizio. - ELETTRONICO. - (2015), pp. 69-72. (Intervento presentato al convegno 12th European Radar Conference, EuRAD 2015 tenutosi a fra nel 2015) [10.1109/EuRAD.2015.7346239].
Quantitative analysis of incoherent polarimetric decomposition techniques for weather radar data
CUCCOLI, FABRIZIO
2015
Abstract
Weather events represent volumetric radar targets and they can be described only in a statistical way. To perform a proper analysis we must therefore use descriptors of the second order, such as the covariance or the coherence matrix, equivalent from the polarimetric point of view. In this paper we present a method to extract information from weather radar data based on Incoherent Target Decomposition techniques (ICTD). The proposed method represents an alternative to the classical methods based on radar reflectivity. The proposed technique is based on the decomposition of the covariance matrix estimated from the received polarimetric radar signal.I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.