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 $60^\circ$, 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.
Compatibility Assessment of Multistatic/Polarimetric Clutter Data With the SIRP Model
IEEE Transactions on Aerospace and Electronic Systems ; 59 , 1 ; 359-374
2023-02-01
2407524 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
The Locally Optimum Detectors in Clutter Characterized as SIRP
British Library Conference Proceedings | 1995
|Coherent Detection of Radar Target in SIRP Clutter and Thermal Noise
British Library Conference Proceedings | 1995
|Heterogeneous Clutter Model for High Resolution Polarimetric SAR Data Parameter Estimation
British Library Conference Proceedings | 2011
|Maximum Likelihood Shift Estimation Using High Resolution Polarimetric SAR Clutter Model
British Library Conference Proceedings | 2011
|