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Phaseless radar coincidence imaging with a MIMO SAR platform

Publication ,  Journal Article
Diebold, AV; Imani, MF; Smith, DR
Published in: Remote Sensing
March 1, 2019

The correlation-based synthetic aperture radar imaging technique, termed radar coincidence imaging, is extended to a fully multistatic multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) configuration. Within this framework, we explore two distinct processing schemes: incoherent processing of intensity data, obtained using asynchronous receivers and inspired by optical ghost imaging works, and coherent processing with synchronized array elements. Improvement in resolution and image quality is demonstrated in both cases using numerical simulations that model an airborne MIMO SAR system at microwave frequencies. Finally, we explore methods for reducing measurement times and computational loads through compressive and gradient image reconstruction using phaseless data.

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Published In

Remote Sensing

DOI

EISSN

2072-4292

Publication Date

March 1, 2019

Volume

11

Issue

5

Related Subject Headings

  • 4013 Geomatic engineering
  • 3709 Physical geography and environmental geoscience
  • 3701 Atmospheric sciences
  • 0909 Geomatic Engineering
  • 0406 Physical Geography and Environmental Geoscience
  • 0203 Classical Physics
 

Citation

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Diebold, A. V., Imani, M. F., & Smith, D. R. (2019). Phaseless radar coincidence imaging with a MIMO SAR platform. Remote Sensing, 11(5). https://doi.org/10.3390/rs11050533
Diebold, A. V., M. F. Imani, and D. R. Smith. “Phaseless radar coincidence imaging with a MIMO SAR platform.” Remote Sensing 11, no. 5 (March 1, 2019). https://doi.org/10.3390/rs11050533.
Diebold AV, Imani MF, Smith DR. Phaseless radar coincidence imaging with a MIMO SAR platform. Remote Sensing. 2019 Mar 1;11(5).
Diebold, A. V., et al. “Phaseless radar coincidence imaging with a MIMO SAR platform.” Remote Sensing, vol. 11, no. 5, Mar. 2019. Scopus, doi:10.3390/rs11050533.
Diebold AV, Imani MF, Smith DR. Phaseless radar coincidence imaging with a MIMO SAR platform. Remote Sensing. 2019 Mar 1;11(5).

Published In

Remote Sensing

DOI

EISSN

2072-4292

Publication Date

March 1, 2019

Volume

11

Issue

5

Related Subject Headings

  • 4013 Geomatic engineering
  • 3709 Physical geography and environmental geoscience
  • 3701 Atmospheric sciences
  • 0909 Geomatic Engineering
  • 0406 Physical Geography and Environmental Geoscience
  • 0203 Classical Physics