Frequency Beamforming-Enhanced DBIM for Limited-Aperture Quantitative Imaging

The distorted Born iterative method (DBIM) is a technique for reconstructing a dielectric profile from scattered electric fields. The potential for effective imaging with DBIM has been demonstrated for a variety of applications. However, it is more challenging to reliably produce high-fidelity image...

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Bibliographic Details
Published in:IEEE transactions on antennas and propagation Vol. 73; no. 2; pp. 1173 - 1184
Main Authors: Ziegler, Scott J., Burfeindt, Matthew J.
Format: Journal Article
Language:English
Published: New York IEEE 01.02.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Apertures
Approximation methods
Array signal processing
Beamforming
Dielectrics
Electric fields
Electromagnetic propagation
Image reconstruction
Imaging
inverse problems
Iterative methods
Parameter sensitivity
Radar
radar theory
Regularization
Scattering
signal processing
Spatial data
ISSN:0018-926X, 1558-2221
Online Access:Get full text
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Summary:The distorted Born iterative method (DBIM) is a technique for reconstructing a dielectric profile from scattered electric fields. The potential for effective imaging with DBIM has been demonstrated for a variety of applications. However, it is more challenging to reliably produce high-fidelity imagery when the aperture formed by the sensors does not fully surround the region of interest and when data is collected over a narrow bandwidth. To address this challenge, we propose a beamforming enhancement to DBIM for limited-aperture scenarios. The beamforming enhancement pre-focuses the data prior to performing the DBIM optimization in order to achieve a better-conditioned inversion. The enhancement is an advance on previous beamforming work for DBIM in that it focuses simultaneously across not only space but also frequency, which allows for better leveraging of range information in the limited-aperture signal. Results for simulated and experimental data demonstrate that the frequency beamforming enhancement to DBIM results in less sensitivity to the choice of the regularization parameter and produces better reconstructions when spatial and frequency information is limited.
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ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2025.3526904