Detection of Failures in Antenna Arrays Through a Lebesgue-Space Approach
Author:
Affiliation:
1. Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Genoa, Italy
2. Department of Mathematics, University of Genoa, Genoa, Italy
Funder
Italian Ministry for Education, University, and Research through the Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8566058/9669085/09790805.pdf?arnumber=9790805
Reference60 articles.
1. Compressive Sensing for Millimeter Wave Antenna Array Diagnosis
2. A Phaseless Microwave Imaging Approach Based on a Lebesgue-Space Inversion Algorithm
3. Planar Array Diagnosis by Means of an Advanced Bayesian Compressive Processing
4. Array Failure Diagnosis Using Nonconvex Compressed Sensing
5. Diagnosis of Planar Arrays Through Phaseless Measurements and Sparsity Promotion
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1. Diagnosis of Defective Elements in Steerable Antenna Arrays by Means of a Non-Standard Regularization Approach;2023 IEEE Conference on Antenna Measurements and Applications (CAMA);2023-11-15
2. Near-Field Diagnosis of an X-band Telemetry Antenna using Infrared Thermography;2023 17th European Conference on Antennas and Propagation (EuCAP);2023-03-26
3. Array Faulty Element Diagnostics by Few Phaseless Data and Convex Optimization;2023 17th European Conference on Antennas and Propagation (EuCAP);2023-03-26
4. Identification of Defective Elements in Antenna Arrays Through an Inverse Approach;2023 17th European Conference on Antennas and Propagation (EuCAP);2023-03-26
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