A study on the resolution limit of polarimetric radar and the performance of polarimetric bandwidth extrapolation technique

Author

Suwa, Kei ; Wakayama, Toshio ; Iwamoto, Masafumi

fYear

2011

fDate

24-29 July 2011

Firstpage

3831

Lastpage

3834

Abstract

Statistical resolution limit (SRL) is a simple metric that provides the highest resolution achievable by any unbiased para metric spectral estimator. In this paper, the SRL of polarimetric radar is derived and compared with that of single polarization radar. The SRL is defined using the Cramer-Rao bound (CRB) of signal parameters for the cases where two point targets are closely located. It is shown analytically and numerically that the polarization information helps improving the SRL.

Keywords

extrapolation; radar polarimetry; radar resolution; radar signal processing; synthetic aperture radar; CRB; Cramer-Rao bound; POLSAR; SRL; polarimetric bandwidth extrapolation technique; polarimetric synthetic aperture radar; polarization information; signal parameter; single polarization radar; statistical resolution limit; unbiased parametric spectral estimator; Extrapolation; Measurement; Radar polarimetry; Signal resolution; Signal to noise ratio; Source separation; Cramér-Rao bound; Fisher information; Polarimetry; average CRB; multichannel signal; parametric spectral analysis; polarization; resolution; statistical resolution limit; super-resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6050066

Filename

6050066