학술논문
Frequency Beamforming-Enhanced DBIM for Limited-Aperture Quantitative Imaging
Document Type
Conference
Author
Source
2023 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM) URSI National Radio Science Meeting (USNC-URSI NRSM), 2023 United States National Committee of. :173-174 Jan, 2023
Subject
Language
Abstract
The distorted Born iterative method (DBIM) is a popular technique for reconstructing a dielectric profile from scattered fields. However, it is more challenging to reliably produce high-fidelity imagery with DBIM when the aperture formed by the sensors does not fully surround the region of interest and when noise significantly degrades the quality of the data. We propose a frequency beamforming enhancement to DBIM which builds on the previously studied spatial beamforming-enhanced DBIM by focusing across both space and frequency prior to solving for the dielectric contrast. Results for simulated data demonstrate that the frequency beamforming enhancement to DBIM results in better overall reconstructions and less sensitivity to the choice of the regularization parameter as compared to traditional DBIM and spatial beamforming-enhanced DBIM.