Remote Sensing (Oct 2024)

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

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

DOI
https://doi.org/10.3390/rs16213940
Journal volume & issue
Vol. 16, no. 21
p. 3940

Abstract

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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.

Keywords