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Clutter Covariance Matrix Estimation for Radar Adaptive Detection Based on a Complex-Valued Convolutional Neural Network

In this paper, we address the problem of covariance matrix estimation for radar adaptive detection under non-Gaussian clutter. Traditional model-based estimators may suffer from performance loss due to the mismatch between real data and assumed models. Therefore, we resort to a data-driven deep-lear...

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Autors principals: Naixin Kang, Zheran Shang, Weijian Liu, Xiaotao Huang
Format: Artigo
Idioma:Inglês
Publicat: MDPI AG 2023-11-01
Col·lecció:Remote Sensing
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Accés en línia:https://www.mdpi.com/2072-4292/15/22/5367
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