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Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
Published on: February 12, 2014
Bistatic synthetic aperture radar imaging for arbitrary flight trajectories
Can Evren Yarman1, Birsen Yazici, Margaret Cheney
1Houston Technology Center, WesternGeco-Schlumberger, Houston, TX 77042, USA. yarman@ecse.rpi.edu
Summary
This study introduces a new analytic filtered backprojection (FBP) method for bistatic synthetic aperture radar (BISAR) imaging. The novel approach accurately reconstructs radar images from complex, non-flat terrains using advanced mathematical analysis.
Area of Science:
- Geophysics
- Electromagnetics
- Signal Processing
Background:
- Bistatic synthetic aperture radar (BISAR) systems offer unique imaging capabilities but pose reconstruction challenges.
- Accurate image formation in BISAR requires sophisticated inversion methods, especially for non-flat terrains.
Purpose of the Study:
- To develop an analytic filtered backprojection (FBP) type inversion method for bistatic synthetic aperture radar (BISAR).
- To address the reconstruction of radar images from arbitrary and known transmitter/receiver trajectories over known, non-flat ground topography.
Main Methods:
- Utilized microlocal analysis to derive an FBP-type reconstruction algorithm for BISAR data.
- Assumed a single-scattering model for radar data and incorporated known ground topography into the inversion process.
- Analyzed the computational complexity of the proposed numerical implementation.
Main Results:
- Developed a novel analytic inversion method for BISAR imaging.
- Demonstrated the performance of the method through numerical simulations.
- The method is capable of handling arbitrary flight trajectories and non-flat topography.
Conclusions:
- The presented analytic FBP-type method provides an effective approach for BISAR image reconstruction.
- The technique shows promise for applications requiring high-resolution imaging in complex environments.
- Further research can explore extensions to more complex scattering models and trajectory scenarios.
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