DocumentCode
923640
Title
Algorithms for estimating the complete group of polarization invariants of the scattering matrix (SM) based on measuring all SM elements
Author
Karnychev, Vladimir ; Khlusov, Valery A. ; Ligthart, Leo P. ; Sharygin, German
Volume
42
Issue
3
fYear
2004
fDate
3/1/2004 12:00:00 AM
Firstpage
529
Lastpage
539
Abstract
The procedure for estimating polarization invariants of the backscattering matrix in horizontal-vertical basis is considered for radar observation of arbitrary nonreciprocal objects. Two polarization invariants are added to the well-known six Huynen-Euler invariants. These new invariants (nonreciprocity angle and difference in absolute phases of the symmetric and antisymmetric parts of the scattering matrix) describe the nonreciprocal properties of the object itself. With the simultaneous measurement of all eight quadratures of the scattering matrix elements, the closed-form expressions for calculating the eight polarization invariants are given. The derived expressions are the starting point for complete estimation of the polarization properties of arbitrary radar objects with a nonsymmetric scattering matrix. The given approach can be used to study various polarization effects in remote radar sensing of artificial and natural objects, and also to simulate polarization measurement processes and estimation errors caused by the measurements of scattering matrix elements at different instants.
Keywords
backscatter; remote sensing by radar; arbitrary nonreciprocal objects; arbitrary radar objects; artificial objects; backscattering matrix; estimation errors; horizontal-vertical basis; natural objects; nonsymmetric scattering matrix; polarization invariants estimation; polarization measurement simulation; radar observation; remote radar sensing; six Huynen-Euler invariants; Backscatter; Linear matrix inequalities; Matrix decomposition; Particle scattering; Polarization; Radar measurements; Radar polarimetry; Radar scattering; Samarium; Symmetric matrices;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2003.817807
Filename
1273585
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