CAE-CNN-Based DOA Estimation Method for Low-Elevation-Angle Target

For the DOA (direction of arrival) estimation of a low-elevation-angle target under the influence of a multipath effect, this paper proposes a DOA estimation method based on CAE (convolutional autoencoder) and CNN (convolutional neural network). The algorithm firstly inputs the signal covariance mat...

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Главные авторы:	Fangzheng Zhao, Guoping Hu, Hao Zhou, Chenghong Zhan
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2022-12-01
Серии:	Remote Sensing
Предметы:	low-elevation-angle target DOA estimation convolutional autoencoder parallel convolutional neural networks preclassification
Online-ссылка:	https://www.mdpi.com/2072-4292/15/1/185
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