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Open AccessArticle

A Minimum Rank Approach for Reduction of Environmental Noise in Near-Field Array Antenna Diagnosis

Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, Via Di Bisaio 43, 03043 Cassino, Italy
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Author to whom correspondence should be addressed.
Current address: DIEI, Via Di Biasio 43, 03043 Cassino, Italy.
J. Imaging 2019, 5(5), 51; https://doi.org/10.3390/jimaging5050051
Received: 5 February 2019 / Revised: 26 April 2019 / Accepted: 28 April 2019 / Published: 2 May 2019
(This article belongs to the Special Issue Microwave Imaging and Electromagnetic Inverse Scattering Problems)
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 1 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. View Full-Text
Keywords: antenna array; near-field measurements; 5G communication; array diagnosis; rank minimization; compressed sensing; antenna testing antenna array; near-field measurements; 5G communication; array diagnosis; rank minimization; compressed sensing; antenna testing
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MDPI and ACS Style

Migliore, M.D.; Schettino, F.; Pinchera, D.; Lucido, M.; Panariello, G. A Minimum Rank Approach for Reduction of Environmental Noise in Near-Field Array Antenna Diagnosis. J. Imaging 2019, 5, 51.

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