Skip to main content

Relaxation of Alignment Errors and Phase Calibration in Computational Frequency-Diverse Imaging using Phase Retrieval

Publication ,  Journal Article
Yurduseven, O; Fromenteze, T; Smith, DR
Published in: IEEE Access
March 14, 2018

We demonstrate a computational, frequency-diverse, phaseless imaging technique at microwave frequencies that minimizes the impacts of phase calibration and alignment errors on image reconstruction. Phase calibration error is introduced by means of misaligning the sub-antennas forming an aperture, causing unwanted phase shifts between the forward model and adjoint operation. It is shown that by leveraging phase retrieval techniques, distinguishable images can still be reconstructed in the presence of significant phase errors, while complex-based reconstructions - those relying on measurement of both phase and amplitude - produce heavily corrupted images. Using a frequency-diverse imaging system consisting of a cavity-backed metasurface antenna that operates at microwave frequencies in the K-band (17.5-26.5 GHz), we demonstrate the complex-based and phaseless images of various objects, from a simple subwavelength conducting element to more complex metal structures. We verify that the combination of the phase retrieval approach with the frequency-diverse imager significantly improves the robustness of the composite imaging system to phase errors. While frequency-diverse computational imaging systems have significant advantages in terms of hardware, their reliance on a near-exact forward model places heavy requirements on system calibration. The phase retrieval approach developed here has the potential to alleviate this reliance, increasing the feasibility of such systems.

Duke Scholars

Published In

IEEE Access

DOI

EISSN

2169-3536

Publication Date

March 14, 2018

Volume

6

Start / End Page

14884 / 14894

Related Subject Headings

  • 46 Information and computing sciences
  • 40 Engineering
  • 10 Technology
  • 09 Engineering
  • 08 Information and Computing Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Yurduseven, O., Fromenteze, T., & Smith, D. R. (2018). Relaxation of Alignment Errors and Phase Calibration in Computational Frequency-Diverse Imaging using Phase Retrieval. IEEE Access, 6, 14884–14894. https://doi.org/10.1109/ACCESS.2018.2816341
Yurduseven, O., T. Fromenteze, and D. R. Smith. “Relaxation of Alignment Errors and Phase Calibration in Computational Frequency-Diverse Imaging using Phase Retrieval.” IEEE Access 6 (March 14, 2018): 14884–94. https://doi.org/10.1109/ACCESS.2018.2816341.
Yurduseven O, Fromenteze T, Smith DR. Relaxation of Alignment Errors and Phase Calibration in Computational Frequency-Diverse Imaging using Phase Retrieval. IEEE Access. 2018 Mar 14;6:14884–94.
Yurduseven, O., et al. “Relaxation of Alignment Errors and Phase Calibration in Computational Frequency-Diverse Imaging using Phase Retrieval.” IEEE Access, vol. 6, Mar. 2018, pp. 14884–94. Scopus, doi:10.1109/ACCESS.2018.2816341.
Yurduseven O, Fromenteze T, Smith DR. Relaxation of Alignment Errors and Phase Calibration in Computational Frequency-Diverse Imaging using Phase Retrieval. IEEE Access. 2018 Mar 14;6:14884–14894.

Published In

IEEE Access

DOI

EISSN

2169-3536

Publication Date

March 14, 2018

Volume

6

Start / End Page

14884 / 14894

Related Subject Headings

  • 46 Information and computing sciences
  • 40 Engineering
  • 10 Technology
  • 09 Engineering
  • 08 Information and Computing Sciences