Robust DoA Estimation Using Denoising Autoencoder and Deep Neural Networks

Robust DoA Estimation Using Denoising Autoencoder and Deep Neural Networks

As one of the most critical technology in array signal processing, direction of arrival (DoA) estimation has received a great deal of attention in many areas. Traditional methods perform well when the signal-to-noise ratio (SNR) is high and the receiving array is perfect, which are quite different f...

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Bibliographic Details
Main Authors: Dawei Chen, Shuo Shi, Xuemai Gu, Byonghyo Shim
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
DoA
SNR
denoising autoencoder
deep neural networks
mutual coupling
Online Access:https://ieeexplore.ieee.org/document/9749276/

Internet

https://ieeexplore.ieee.org/document/9749276/

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