Abstract
For the terahertz synthetic aperture near-field imaging problem, this paper proposes a SAR imaging method based on sparse reconstruction, which solves the problems of slow scanning speed, a large amount of data, and complicated calculations in the terahertz synthetic aperture imaging process. The targets in space are sparsely sampled and reconstructed using a compressed sensing reconstruction method. Simulation results show that high-quality target reconstruction can be achieved at low sampling conditions.
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