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Multiple-Input Multiple-Output Microwave Tomographic Imaging for Distributed Photonic Radar Network

by Maresca, Salvatore , Catapano, Ilaria , Gennarelli, Gianluca , Soldovieri, Francesco , Scotti, Filippo , Ghelfi, Paolo , Scapaticci, Rosa , Noviello, Carlo , Malacarne, Antonio

in Antennas / Bandwidths / Border security / coherent MIMO / Cultural heritage / Data processing / Distributed processing (Computers) / Inverse scattering / Microwave communications / Microwave photonics / microwave tomography / MIMO communications / MIMO radar imaging / Moving targets / Parameter estimation / photonic radar network / Photonics / Radar / Radar data / Radar imaging / Radar networks / Radar systems / Signal processing / Singular value decomposition / Technology application / Tomography

2024

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Multiple-Input Multiple-Output Microwave Tomographic Imaging for Distributed Photonic Radar Network

by Maresca, Salvatore , Catapano, Ilaria , Gennarelli, Gianluca , Soldovieri, Francesco , Scotti, Filippo , Ghelfi, Paolo , Scapaticci, Rosa , Noviello, Carlo , Malacarne, Antonio

2024

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Multiple-Input Multiple-Output Microwave Tomographic Imaging for Distributed Photonic Radar Network

by Maresca, Salvatore , Catapano, Ilaria , Gennarelli, Gianluca , Soldovieri, Francesco , Scotti, Filippo , Ghelfi, Paolo , Scapaticci, Rosa , Noviello, Carlo , Malacarne, Antonio

2024

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Journal Article

Multiple-Input Multiple-Output Microwave Tomographic Imaging for Distributed Photonic Radar Network

Maresca, Salvatore,

Catapano, Ilaria,

Gennarelli, Gianluca,

Soldovieri, Francesco,

Scotti, Filippo,

Ghelfi, Paolo,

Scapaticci, Rosa,

Noviello, Carlo,

Malacarne, Antonio

2024

Overview

This paper deals with the imaging problem from data collected by means of a microwave photonics-based distributed radar network. The radar network is leveraged on a centralized architecture, which is composed of one central unit (CU) and two transmitting and receiving dual-band remote radar peripherals (RPs), it is capable of collecting monostatic and multistatic phase-coherent data. The imaging is herein formulated as a linear inverse scattering problem and solved in a regularized way through the truncated singular value decomposition inversion scheme. Specifically, two different imaging schemes based on an incoherent fusion of the tomographic images or a fully coherent data processing are herein developed and compared. Experimental tests carried out in a port scenario for imaging both a stationary and a moving target are reported to validate the imaging approach.

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Publisher

MDPI AG

Subject

/ Distributed processing (Computers)