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Published on: February 12, 2014
Near-field three-dimensional radar imaging techniques and applications.
David Sheen1, Douglas McMakin, Thomas Hall
1Pacific Northwest National Laboratory, P.O. Box 999, Richland, Washington 99352, USA. david.sheen@pnl.gov
Applied Optics
|July 22, 2010
Summary
Three-dimensional radio frequency imaging offers advanced near-field applications like concealed weapon detection. Computational wavefront reconstruction optimizes image resolution and quality for diverse radar imaging scenarios.
Area of Science:
- Electromagnetics and Applied Physics
- Signal Processing
- Imaging Science
Background:
- Near-field imaging utilizes active radar transceivers across a broad frequency spectrum (100 MHz to >350 GHz).
- Applications include radar cross-section imaging, concealed weapon detection, ground penetrating radar, through-barrier imaging, and nondestructive evaluation.
- Existing techniques often face limitations in resolution and illumination quality.
Purpose of the Study:
- To present novel three-dimensional (3D) radio frequency (RF) imaging techniques.
- To describe computational wavefront reconstruction methods for enhanced image quality.
- To showcase the application of these 3D RF imaging techniques.
Main Methods:
- Development of 3D imaging systems using rectilinear and cylindrical configurations.
- Employment of active radar transceivers operating at application-specific frequencies.
- Utilization of computational wavefront reconstruction algorithms for image processing.
Main Results:
- Demonstration of 3D RF imaging capabilities in various near-field scenarios.
- Optimized resolution and illumination quality achieved through computational wavefront reconstruction.
- Successful application results presented for diverse imaging tasks.
Conclusions:
- 3D RF imaging techniques, particularly with computational wavefront reconstruction, provide significant advancements in near-field sensing.
- The described rectilinear and cylindrical methods are versatile and applicable to a range of critical applications.
- Further development in this area promises enhanced capabilities for detection and evaluation.
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