Multi-headed deep learning-based estimator for correlated-SIRV Pareto type II distributed clutter

Multi-headed deep learning-based estimator for correlated-SIRV Pareto type II distributed clutter

Abstract This paper deals with the problem of estimating the parameters of heavy-tailed sea clutter in high-resolution radar, when the clutter is modeled by the correlated Pareto type II distribution. Existing estimators based on the maximum likelihood (ML) approach, integer-order moments (IOM) appr...

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Bibliographic Details
Main Authors: Taha Hocine Kerbaa, Amar Mezache, Fulvio Gini, Maria S. Greco
Format: Article
Language:English
Published: SpringerOpen 2023-07-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Parameter estimation
Pareto
SIRV
Correlation
Deep learning
CNN
Online Access:https://doi.org/10.1186/s13634-023-00982-8

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