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Published on: September 26, 2014
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3-D experimental UWB microwave imaging in dispersive media
1Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Summary
This study introduces a 3D microwave imaging method using a phase shift and sum (PSAS) algorithm to accurately image dispersive media. The technique overcomes signal distortion issues for clearer 3D imaging results.
Area of Science:
- Electromagnetics and Wave Propagation
- Medical Imaging
- Signal Processing
Background:
- Dispersive media significantly distort microwave signals, complicating accurate imaging.
- Existing ultra-wideband (UWB) imaging methods struggle with multi-speed and multipath propagation effects in such environments.
Purpose of the Study:
- To develop and validate a novel 3D microwave imaging technique for highly dispersive media.
- To address and overcome signal distortion challenges inherent in UWB signal propagation.
Main Methods:
- Implementation of a phase shift and sum (PSAS) algorithm for 3D microwave imaging.
- Individual compensation for phase shift and amplitude attenuation across frequency components.
- Integration of compensated frequency data to compute pixel values in the region of interest (ROI).
Main Results:
- Successfully compensated for phase shifts and amplitude attenuation in dispersive media.
- Overcame the multi-speed and multipath propagation issues associated with UWB signals.
- Validated the approach using lab-collected data from a self-developed 3D UWB microwave measurement system.
Conclusions:
- The presented PSAS algorithm effectively enables 3D microwave imaging in dispersive media.
- The method offers a robust solution for overcoming signal distortion, leading to improved image quality.
- Experimental validation confirms the efficacy of the proposed imaging technique.

