Abstract
AbstractIn recent years, significant effort of both the scientific and industrial community is invested in research and development of multifrequency, multipolarization, and high‐resolution synthetic aperture radar (SAR) systems. One of the key issues is to realize efficient methods for imaging, reconstruction, and target detection of three‐dimensional (3‐D) electrically large‐scale objects. In this paper, an advanced multiple‐input multiple‐output (MIMO) SAR based on high‐resolution imaging algorithm was developed. Specifically, a reasonable sea surface model to quantify the influence of physical parameters in clutter was yielded as well. The SAR simulation system includes the following: (i) refined geometric‐electromagnetic modeling by Gmsh, (ii) a dynamic sea surface model, (iii) single‐input multiple‐output (SIMO) radar imaging formation by employing a fast backprojection algorithm, (iv) design of MIMO antenna arrays to achieve a good trade‐off between the main beam width and the side lobe level, (v) 3‐D SAR imaging algorithm on the basis of optimized physical optics for electromagnetic scattering computation, and (vi) hardware acceleration technique using graphics processing unit. Finally, numerical experiments indicate that 3‐D visualization of sphere, and examples of fighter aircraft and aircraft carrier are generated within 200 s, further proving correctness and effectiveness of the developed 3‐D MIMO SAR imaging algorithm.
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