Two-Dimensional DOA Estimation via Deep Ensemble Learning

Two-Dimensional DOA Estimation via Deep Ensemble Learning

To achieve fast and accurate two-dimensional (2D) direction of arrival (DOA) estimation, a novel deep ensemble learning method is presented in this paper. First, a convolutional neural network (CNN) is employed to learn a mapping between the spatial covariance matrix of the received signals from the...

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Bibliographic Details
Main Authors: Wenli Zhu, Min Zhang, Pengfei Li, Chenxi Wu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
deep learning
ensemble learning
two-dimensional direction of arrival estimation
uniform circle array
Online Access:https://ieeexplore.ieee.org/document/9126786/

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