Determination of polarization invariants of asymmetric scattering matrix

Karnychev, V.I.; Ligthart, L.P.; Khlusov, V.A.; Sharygin, G. S.

doi:10.1109/mikon.2002.1017912

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…В последнее время наблюдается интерес к новым вариантам технического использования свойств невзаимности электрических цепей и сред [1]. В частности, наличие и степень невзаимности передаточных характеристик объекта [2,3], позволит иметь дополнительные признаки объекта, по которым его можно обнаружить и классифицировать на фоне других объектов при решении задач дистанционного зондирования или диагностики. Интересно сочетать такие признаки, также, с наблюдением поляризационных характеристик [4], характеристик нелинейности преобразования сигналов объектом [5,6]…”

Section: Introductionunclassified

Measuring a small nonreciprocity of the objects.

Semyonov¹,

Malyutin²

2021

JRE

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In the paper the methods and features of measuring the small nonreciprocity of objects is considered. Several variants of nonreciprocity characteristics are proposed and the variant with most noise immunity is selected. A method of normalizing the chosen nonreciprocity characteristic is considered. It is shown that the exposure of nonreciprocity depends on the probing signals. It is noted that the main factor that limiting the bottom bound of the nonreciprocity measurement range is the difference of the impedances of input and output networks. If a calibration is absent and if the difference between the inductance of the input and output networks is of few tenths of nH, then at a test impact duration of about 50 ps the bottom bound of the nonreciprocity measurement range is of about 1%. The observation of nonreciprocity with a relative value of 3% has been performed experimentally.

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Section: Introductionunclassified

Measuring a small nonreciprocity of the objects.

Semyonov¹,

Malyutin²

2021

JRE

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“…Karnychev et al [27,28] have introduced an invariant parameter for characterizing asymmetric scattering matrices, the polarization nonreciprocity factor (NRF). With the scattering matrix written in the HV basis: S = S hh S hv S vh S vv , the nonreciprocity factor will be:…”

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Real Representation of the Polarimetric Scattering Matrix for Monostatic Radar

et al. 2023

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Synthetic aperture radar with polarimetric diversity is a powerful tool in remote sensing. Each pixel is described by the scattering matrix corresponding to the emission/reception polarization states (usually horizontal and vertical). The algebraic real representation, a block symmetric matrix form, is introduced to adopt a more comprehensive framework (non-restricted by reciprocity assumptions) in mapping the scattering matrix by the consimilarity equivalence relation. The proposed representation can reveal potentially new information. For example, its eigenvalue decomposition, which is itself a necessary step in obtaining the consimilarity transformation products, may be useful in characterizing the degree of reciprocity/nonreciprocity. As a consequence, it can be employed in testing the reciprocity compliance assumed with monostatic PolSAR data. Full-wave simulated polarimetric data confirm that oriented scatterers can present complex eigenvalues, even with the monostatic geometry.

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