Synthesis of Mask-Constrained Pattern-Reconfigurable Nonuniformly Spaced Linear Arrays Using Artificial Neural Networks-Reference-Cited by-同舟云学术

Synthesis of Mask-Constrained Pattern-Reconfigurable Nonuniformly Spaced Linear Arrays Using Artificial Neural Networks

Published:2022-06 Issue:6 Volume:70 Page:4355-4368
ISSN:0018-926X
Container-title:IEEE Transactions on Antennas and Propagation
language:
Short-container-title:IEEE Trans. Antennas Propagat.

Author:

Cui Can¹^ORCID,Li Wen Tao¹^ORCID,Ye Xiu Tiao²^ORCID,Hei Yong Qiang³^ORCID,Rocca Paolo⁴^ORCID,Shi Xiao Wei¹^ORCID

Affiliation:

1. Department of Electronic Engineering, Science and Technology on Antenna and Microwave Laboratory, Xidian University, Xi’an, China

2. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi’an, China

3. State Key Laboratory of ISN, Xidian University, Xi’an, China

4. ELEDIA Research Center (ELEDIA)—University of Trento, Trento, Italy

Funder

National Nature Science Foundation

Aeronautical Science Foundation of China

Fundamental Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8/9794936/09678072.pdf?arnumber=9678072

Reference32 articles.

1. Shaped Power Patterns Produced By Equispaced Linear Arrays: Optimized Synthesis Using Orthogonal sin(Nx)/sin(x) Beams

2. Synthesis of multiple‐pattern planar arrays with A hybrid generalised iterative fast Fourier transform algorithm

3. An Effective Approach to the Synthesis of Phase-Only Reconfigurable Linear Arrays

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