Abstract
AbstractInverse synthetic aperture lidar (ISAL) has overcome the optical diffraction limit and realized radar imaging with centimeter‐level resolution at ultra‐long distances. Taking a two‐dimensional Gaussian rough surface as an example, a method for calculating the scattered echo under the Kirchhoff approximation based on two‐dimensional Fourier transform is proposed. ISAL imaging of planar rough targets (square and circular plates) is realized using the intensity and phase information of the scattered echo. Moreover, the ISAL imaging of large rough convex targets (cone) is obtained through a coordinate transformation, and the influence of different rough targets on ISAL imaging is analyzed, revealing that as the roughness decreases, the proportion of scattering produced by coherent scattering increases, resulting in a sharper target edge, whereas increasing target roughness leads to the image energy distribution becoming more uniform.
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