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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...

Täydet tiedot

Tallennettuna:
Päätekijät: Fangzheng Zhao, Guoping Hu, Hao Zhou, Chenghong Zhan
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2022-12-01
Sarja:Remote Sensing
Aiheet:
low-elevation-angle target
DOA estimation
convolutional autoencoder
parallel convolutional neural networks
preclassification
Linkit:https://www.mdpi.com/2072-4292/15/1/185
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