Dual-polarization spectral decompositions: Application to radar parameter estimation and quality control

Author

Chandrasekar, V. ; Moisseev, Dmitri N. ; George, Jim

Author_Institution

Colorado State Univ., Fort Collins

fYear

2007

fDate

23-28 July 2007

Firstpage

3305

Lastpage

3308

Abstract

Spectral decompositions of dual polarization observation allows for extending of analysis of polarimetric radar data to the new dimension, namely Doppler frequency domain. In this paper it is shown how this new paradigm can be used for improving quality of radar data. On an example of the CSU- CHILL observations it is demonstrated that this analysis can be used to design a spectral filter that allows for both ground clutter mitigation and radar sensitivity improvement.

Keywords

clutter; filters; geophysical signal processing; parameter estimation; radar polarimetry; radar signal processing; remote sensing by radar; signal denoising; CSU-CHILL observations; Doppler frequency domain; dual polarization spectral decomposition; ground clutter mitigation; polarimetric radar data; radar parameter estimation; radar quality control; radar sensitivity improvement; spectral filter design; Doppler radar; Filters; Frequency; Noise measurement; Parameter estimation; Quality control; Radar applications; Radar clutter; Radar polarimetry; Reflectivity; dual-polarization spectral measurements; ground clutter mittigation; radar signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International

Conference_Location

Barcelona

Print_ISBN

978-1-4244-1211-2

Electronic_ISBN

978-1-4244-1212-9

Type

conf

DOI

10.1109/IGARSS.2007.4423551

Filename

4423551