An Adaptive Beamforming Approach Applied to Planar Antenna Arrays Using Neural Networks-Reference-Cited by-同舟云学术

An Adaptive Beamforming Approach Applied to Planar Antenna Arrays Using Neural Networks

Published:2022-06-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)
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Author:

Mallioras Ioannis¹,Zaharis Zaharias D.¹,Lazaridis Pavlos I.²,Poulkov Vladimir³,Kantartzis Nikolaos V.⁴,Yioultsis Traianos V.¹

Affiliation:

1. School of Electrical and Computer Engineering, Aristotle University of Thessaloniki,Thessaloniki,Greece

2. Maggioli SpA Santarcangelo Di Romagna,Italy

3. School of Computing and Engineering, University of Huddersfield,Huddersfield,U.K.

4. Technical University of Sofia,Faculty of telecommunications,Sofia,Bulgaria

Funder

European Union

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9858123/9858124/09858302.pdf?arnumber=9858302

Reference11 articles.

1. Deep‐learning‐based beamforming for rejecting interferences

2. A neural network-based smart antenna for multiple source tracking

3. PyTorch: an imperative style, high-performance deep learning library;paszke;Advances in Neural IInformation Processing Systems,0

4. Phased antenna array beamforming using convolutional neural networks;ricardo;2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting,2019

5. Importance of input data normalization for the application of neural networks to complex industrial problems

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