Accurate Range Migration for Fast Quantitative Fourier-based Image Reconstruction with Monostatic Radar
preprintposted on 2022-04-15, 03:45 authored by Daniel TajikDaniel Tajik, Romina Kazemivala, Jimmy Nguyen, Natalia Nikolova
This article has been submitted to the IEEE Transactions on Microwave Theory and Techniques and is currently under review.
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Range migration (or range focusing) techniques are widely used in optical, acoustic, and microwave real-time image reconstruction methods. They have been successfully applied to far-field three-dimensional imaging where they rely on plane-wave assumptions, which ignore the data amplitude variation over the acquisition aperture. Their accuracy, however, quickly degrades when applied to close-range imaging, where amplitude variations are significant and where the range distance to the target is on the order of the range sampling step. Here, we present a range-focusing method of improved accuracy, which is applicable to both far-zone and close-range monostatic radar. It refocuses a measured point-spread function (PSF) to any range location, taking into account both magnitude and phase changes. The approach can be applied with any Fourier-based imaging algorithm utilizing the Lippmann-Schwinger equation as the underlying scattering model. Here, it is validated through examples based on simulated and measured data where the images are reconstructed with quantitative microwave holography.
Email Address of Submitting Authortajikd@mcmaster.ca
ORCID of Submitting Author0000-0003-0984-9548
Submitting Author's InstitutionMcMaster University
Submitting Author's CountryCanada
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in IEEE Transactions on Microwave Theory and Techniques