DOA estimation method for sparse arrays based on deep convolutional autoencoder and deep convolutional neural network

This paper proposes a Direction-of-Arrival (DOA) estimation method based on Deep Convolutional Autoencoder (DCAE). This method constructs a DCAE to map the covariance matrix of the received signals of a sparse array into a feature space and then reconstructs it into the covariance matrix of the rece...

Full description

Bibliographic Details

Published in:	Digital signal processing Vol. 168; p. 105627
Main Authors:	Guo, Shuhan, Zhang, Qin, Fu, Xiaolong, Zheng, Guimei, Zhou, Hao
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.01.2026
Subjects:	Convolutional autoencoder Convolutional neural network Direction-of-arrival estimation Sparse array Sparse array Direction-of-arrival estimation Convolutional autoencoder Convolutional neural network
ISSN:	1051-2004
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!