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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Bibliografische Detailangaben

Hauptverfasser:	Naixin Kang, Zheran Shang, Weijian Liu, Xiaotao Huang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2023-11-01
Schriftenreihe:	Remote Sensing
Schlagworte:	adaptive detection complex-valued network convolutional neural network covariance matrix estimation
Online-Zugang:	https://www.mdpi.com/2072-4292/15/22/5367
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