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

被引：0

作者：

Noviello, Carlo ^{[1
]}

Maresca, Salvatore ^{[2
]}

Gennarelli, Gianluca ^{[1
]}

Malacarne, Antonio ^{[3
]}

Scotti, Filippo ^{[3
]}

Ghelfi, Paolo ^{[3
]}

Soldovieri, Francesco ^{[1
]}

Catapano, Ilaria ^{[1
]}

Scapaticci, Rosa ^{[1
]}

机构：

[1] Natl Res Council CNR, Inst Electromagnet Sensing Environm IREA, I-80124 Naples, Italy

[2] Natl Res Council CNR, Inst Elect & Informat Engn & Telecommun IEIIT, I-56124 Pisa, Italy

[3] Natl Interuniv Consortium Telecommun CNIT, Photon Networks & Technol Natl Lab PNTLab, I-56124 Pisa, Italy

来源：

REMOTE SENSING | 2024年 / 16卷 / 21期

关键词：

microwave tomography; microwave photonics; MIMO radar imaging; photonic radar network; coherent MIMO; MIMO RADAR;

D O I：

10.3390/rs16213940

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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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页数：17

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