Enhancing Adaptive Beamforming in 3-D Space Through Self-Improving Neural Network Techniques-Reference-Cited by-同舟云学术

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Enhancing Adaptive Beamforming in 3-D Space Through Self-Improving Neural Network Techniques

Published:2024 Issue: Volume:5 Page:1340-1357
ISSN:2644-125X
Container-title:IEEE Open Journal of the Communications Society
language:
Short-container-title:IEEE Open J. Commun. Soc.

Author:

Mallioras Ioannis¹^ORCID,Yioultsis Traianos V.¹^ORCID,Kantartzis Nikolaos V.¹^ORCID,Lazaridis Pavlos I.²^ORCID,Zaharis Zaharias D.¹^ORCID

Affiliation:

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

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

Funder

H2020 Marie Sk?odowska-Curie Actions

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8782661/10362961/10438855.pdf?arnumber=10438855

Reference47 articles.

1. Beamforming applied to an adaptive planar array

2. Improved Beamforming in 3D Space Applied to Realistic Planar Antenna Arrays by Using the Embedded Element Patterns

3. Blind beamforming for non-gaussian signals

4. Minimum Variance Distortionless Response Beamformer with Enhanced Nulling Level Control via Dynamic Mutated Artificial Immune System

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1. MIMO Radar Mainlobe Gain Control Design for Co-Existence With Wireless Communication Systems;IEEE Access;2024

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