An imaging technique using confocal circular synthetic aperture radar

1998 ◽  
Vol 36 (5) ◽  
pp. 1524-1530 ◽  
Author(s):  
A. Ishimaru ◽  
Tsz-King Chan ◽  
Y. Kuga
2012 ◽  
Vol 433-440 ◽  
pp. 2004-2010
Author(s):  
Su Yi Mon Su ◽  
Jian Cheng Fang

Digital signal processing is used to focus the image and obtain a higher resolution than achieved by conventional radar systems. This paper presents details of Synthetic Aperture Radar (SAR) signal processing and imaging technique with the goal of generating images. A Matlab based program is developed and coded for imaging simulation. It facilitates processing data and producing desired output. Then, we investigate the characteristics of Linear Frequency Modulated (LFM) signal prior to getting image results. The SAR properties in range and azimuth directions are described. The received signal and SAR raw data is theoretically described. In addition, the target reflection signal processing is also well presented. The SAR image formation is described using Range Doppler Algorithm (RDA). Finally, simulation parameters are computed and imaging simulation test is finished.


2019 ◽  
Vol 11 (5) ◽  
pp. 533 ◽  
Author(s):  
Aaron Diebold ◽  
Mohammadreza Imani ◽  
David Smith

The correlation-based synthetic aperture radar imaging technique, termed radar coincidence imaging, is extended to a fully multistatic multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) configuration. Within this framework, we explore two distinct processing schemes: incoherent processing of intensity data, obtained using asynchronous receivers and inspired by optical ghost imaging works, and coherent processing with synchronized array elements. Improvement in resolution and image quality is demonstrated in both cases using numerical simulations that model an airborne MIMO SAR system at microwave frequencies. Finally, we explore methods for reducing measurement times and computational loads through compressive and gradient image reconstruction using phaseless data.


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