UFCNet: U-shaped Fully Connected Network for Improving Direction of Arrival Estimation Accuracy in Electronic Intelligence Systems-Reference-Cited by-同舟云学术

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UFCNet: U-shaped Fully Connected Network for Improving Direction of Arrival Estimation Accuracy in Electronic Intelligence Systems

Published:2023-10-19 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Advanced Technologies for Communications (ATC)
language:
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Author:

Nguyen Duy-Thai¹,Hoang Van-Phuc²,Doan Van-Sang³

Affiliation:

1. Institute of Electronics, Academy of Military Science and Technology,Hanoi,Vietnam

2. Institute of System Integration, Le Quy Don Technical University,Hanoi,Vietnam

3. Vietnam Naval Academy Nha Trang,Faculty of Communication and Radar,Khanh Hoa,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10318513/10318514/10318525.pdf?arnumber=10318525

Reference12 articles.

1. An Intelligent DOA Estimation Error Calibration Method Based on Transfer Learning

2. Direction of Arrival Estimation of Array Defects Based on Deep Neural Network

3. Deep Residual Learning for Image Recognition

4. DOA Estimation Method Based on Improved Deep Convolutional Neural Network

5. Improved Unitary Root-MUSIC for DOA Estimation Based on Pseudo-Noise Resampling

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