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
Link To Document :
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