研究目的
To propose an approach for three-dimensional near-field holographic imaging with data collected over cylindrical apertures, addressing the limitations of previous methods based on rectangular apertures.
研究成果
The proposed approach for three-dimensional holographic imaging using cylindrical apertures is validated through simulation and experimental examples, showing good reconstruction of objects at appropriate radii. It has applications in non-destructive testing, biomedical imaging, and concealed object detection, with processing times under a minute. Future work could reduce acquisition time using antenna arrays.
研究不足
The quality of images degrades for smaller radii of imaged cylindrical surfaces, as seen in simulation and experimental results. Data acquisition time is long (30 minutes), which may not be suitable for real-time applications without optimization.
1：Experimental Design and Method Selection:
The methodology involves using a cylindrical aperture for data acquisition in near-field holographic imaging, employing circular deconvolution to handle periodicity in the azimuthal direction. The imaging system is linear and space-invariant, utilizing the Born approximation.
2：Sample Selection and Data Sources:
Simulation data generated using FEKO software and experimental data from a setup with metallic sheets as objects.
3：List of Experimental Equipment and Materials:
A resonant dipole antenna, a cylindrical positioning system, a Keysight E5063A vector network analyzer, a commercial UWB antenna, microwave absorbing sheets, and metallic sheets.
4：Experimental Procedures and Operational Workflow:
For simulation, the antenna scans a cylindrical aperture, and back-scattered fields are sampled at multiple frequencies. For experiment, the antenna scans over a cylindrical aperture, and S11 parameters are measured. Data is processed using circular deconvolution and Fourier transforms.
5：Data Analysis Methods:
Data is transformed to the spatial frequency domain using discrete Fourier transforms (DFT) and discrete-time Fourier transforms (DTFT), and systems of equations are solved to reconstruct images.
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