LEICI 25638
INSTITUTO DE INVESTIGACIONES EN ELECTRONICA, CONTROL Y PROCESAMIENTO DE SEÑALES
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Weather radar spectral estimation using sparse models
Autor/es:
S. PAZOS; M. R. GARCIA; C. H. MURAVCHIK; M. HURTADO
Lugar:
San Miguel de Tucumán
Reunión:
Congreso; IEEE Biennial Congress of Argentina (ARGENCON); 2018
Institución organizadora:
IEEE
Resumen:
In weather radar systems, the echoes from the weather phenomena can be contaminated by ground reflections (clutter). If this interference is not properlyremoved, it produces biased estimates of the meteorological variables, or it can even hide the signal of interest. In this paper, we analyze different formulations of sparse models for estimating the Doppler spectrum and spectral moments ofthe radar signal. The performance of the sparse models is compared with classical ground clutter filters using synthetic data; and then validated using real data provided by INVAP through their weather radar located in Bariloche.
