Compatibility Assessment of Multistatic/Polarimetric Clutter Data with the SIRP Model

Journal article (2023)

Authors

A. Aubry Università degli Studi di Napoli Federico II
V. Carotenuto Università degli Studi di Napoli Federico II
A. De Maio Università degli Studi di Napoli Federico II
F. Fioranelli Microwave Sensing, Signals & Systems - EEMCS
Research Group
Microwave Sensing, Signals & Systems (EEMCS) (TU Delft)
Copyright: © 2023 Augusto Aubry, Vincenzo Carotenuto, Antonio De Maio, F. Fioranelli
DOI: https://doi.org/10.1109/TAES.2022.3184916
Geometry Spatial heterogeneity Multistatic/polarimetric radar Spherically Invariant Random Process (SIRP) Sea-clutter Coherence time
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Published Date

2023

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Microwave Sensing, Signals & Systems

Abstract

This article deals with the statistical inference of simultaneously recorded co- and cross-polarized bistatic coherent sea-clutter returns at S-band. This study is conducted employing appropriate statistical learning tools, involving the complex envelope of data, to assess the compliance of the available measurements with the spherically invariant random process (SIRP) representation, as well as to analyze possible texture correlations among the diverse polarimetric channels. Moreover, the spatial heterogeneity of the sea-clutter data is studied. The results highlight that the SIRP model is a good candidate for the representation of bistatic coherent clutter and usually the coherence time of the SIRP texture at the bistatic nodes is longer than that in the monostatic sensing. Notably, at bistatic angles in order of 60°, the quadrature components of the cross-polarized bistatic measurements substantially exhibit a Gaussian behavior. These achievements further shed light on the bistatic sea-clutter diversity from the geometric and polarimetric point of view.