DOA Robust Estimation of Echo Signals Based on Deep Learning Networks With Multiple Type Illuminators of Opportunity

DOA Robust Estimation of Echo Signals Based on Deep Learning Networks With Multiple Type Illuminators of Opportunity

Traditional DOA estimation algorithms have poor adaptability to antenna errors. To enhance the direction of arrival (DOA) estimation performance for moving target echo signals in the environment of multiple type illuminators of opportunity, a DOA estimation framework leveraging deep learning network...

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Bibliographic Details
Main Authors: Bo Hu, Mingqian Liu, Fei Yi, Hao Song, Fan Jiang, Fengkui Gong, Nan Zhao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
deep learning networks
direction of arrival estimation
illuminator of opportunity
linear classification networks
Online Access:https://ieeexplore.ieee.org/document/8959226/

Internet

https://ieeexplore.ieee.org/document/8959226/

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