An airborne inverse synthetic aperture ladar imaging method based on sparse sampling

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The inverse synthetic aperture ladar combines coherent laser technology with synthetic aperture imaging to achieve centimeter-level resolution over a distance of thousands of kilometers. Due to the short wavelength, the required pulse repetition frequency of ladar is very high. Furthermore, because of the uncertain trajectory of the non-cooperative target, the problem of sparse sampling always exists in azimuthal direction. This paper applies inverse synthetic aperture ladar technology into airborne platform, and studies the reconstruction of ladar image under the condition of azimuthal sparse sampling. A frequency spectrum unwrapping method is proposed based on linear observation matrix and Compressed Sensing theory, to restore the image from sparsely sampled echo. Simulation results demonstrate the effectiveness of proposed method.