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Based on the reconstructed phase errors, the motion compensation can be successfully performed for the THz SAR to obtain the highly focused images.
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Compared with microwave synthetic aperture radar (SAR), terahertz SAR (THz SAR) is easier to achieve ultrahigh-resolution image but more difficult to compensate motion errors.
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For 3D THz SAR imaging, the image formation algorithms play an important role.
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In this paper, a vibration estimation method for terahertz synthetic aperture radar (THz SAR) is proposed based on the sinusoidal frequency modulation Fourier transform (SFMFT), which directly operates on the phase term of the signal.
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One primary potential application could be unmanned aerial vehicle (UAV) based THz SAR for environment mapping and profiling.
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Meanwhile, THz SAR is able to penetrate through cloud, smoke and dust with low attenuation, which leads to the applications of high-resolution imaging and target recognition in complex battlefield environment.
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In numerical examples, a two-dimensional indoor THz SAR imaging for a point target is considered, where the developed interpolation methods are compared with the nearest neighbor approach.
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State-of-the-art THz SAR imaging is demonstrated primarily up to 1.
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