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A Minimum Rank Approach for Reduction of Environmental Noise in Near-Field Array Antenna Diagnosis
A method to filter out the contribution of interference sources in array diagnosis is proposed. The interference-affected near field measured on a surface is treated as a (complex-data) image. This allows to use some modern image processing algorithms. In particular, two strategies widely used in im...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320938/ https://www.ncbi.nlm.nih.gov/pubmed/34460489 http://dx.doi.org/10.3390/jimaging5050051 |
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author | Migliore, Marco Donald Schettino, Fulvio Pinchera, Daniele Lucido, Mario Panariello, Gaetano |
author_facet | Migliore, Marco Donald Schettino, Fulvio Pinchera, Daniele Lucido, Mario Panariello, Gaetano |
author_sort | Migliore, Marco Donald |
collection | PubMed |
description | A method to filter out the contribution of interference sources in array diagnosis is proposed. The interference-affected near field measured on a surface is treated as a (complex-data) image. This allows to use some modern image processing algorithms. In particular, two strategies widely used in image processing are applied. The first one is the reduction of the amount of information by acquiring only the innovation part of an image, as currently happens in video processing. More specifically, a differential measurement technique is used to formulate the estimation of the array excitations as a sparse recovery problem. The second technique has been recently proposed in video denoising, where the image is split into a low-rank and high-rank part. In particular, in this paper the interference field is filtered out using sparsity as discriminant adopting a mixed minimum [Formula: see text] norm and trace norm minimization algorithm. The methodology can be applied to both near and far field measurement ranges. It could be an alternative to the systematic use of anechoic chambers for antenna array testing. |
format | Online Article Text |
id | pubmed-8320938 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83209382021-08-26 A Minimum Rank Approach for Reduction of Environmental Noise in Near-Field Array Antenna Diagnosis Migliore, Marco Donald Schettino, Fulvio Pinchera, Daniele Lucido, Mario Panariello, Gaetano J Imaging Article A method to filter out the contribution of interference sources in array diagnosis is proposed. The interference-affected near field measured on a surface is treated as a (complex-data) image. This allows to use some modern image processing algorithms. In particular, two strategies widely used in image processing are applied. The first one is the reduction of the amount of information by acquiring only the innovation part of an image, as currently happens in video processing. More specifically, a differential measurement technique is used to formulate the estimation of the array excitations as a sparse recovery problem. The second technique has been recently proposed in video denoising, where the image is split into a low-rank and high-rank part. In particular, in this paper the interference field is filtered out using sparsity as discriminant adopting a mixed minimum [Formula: see text] norm and trace norm minimization algorithm. The methodology can be applied to both near and far field measurement ranges. It could be an alternative to the systematic use of anechoic chambers for antenna array testing. MDPI 2019-05-02 /pmc/articles/PMC8320938/ /pubmed/34460489 http://dx.doi.org/10.3390/jimaging5050051 Text en © 2019 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Article Migliore, Marco Donald Schettino, Fulvio Pinchera, Daniele Lucido, Mario Panariello, Gaetano A Minimum Rank Approach for Reduction of Environmental Noise in Near-Field Array Antenna Diagnosis |
title | A Minimum Rank Approach for Reduction of Environmental Noise in Near-Field Array Antenna Diagnosis |
title_full | A Minimum Rank Approach for Reduction of Environmental Noise in Near-Field Array Antenna Diagnosis |
title_fullStr | A Minimum Rank Approach for Reduction of Environmental Noise in Near-Field Array Antenna Diagnosis |
title_full_unstemmed | A Minimum Rank Approach for Reduction of Environmental Noise in Near-Field Array Antenna Diagnosis |
title_short | A Minimum Rank Approach for Reduction of Environmental Noise in Near-Field Array Antenna Diagnosis |
title_sort | minimum rank approach for reduction of environmental noise in near-field array antenna diagnosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320938/ https://www.ncbi.nlm.nih.gov/pubmed/34460489 http://dx.doi.org/10.3390/jimaging5050051 |
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