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Efficient millimeter-wave compressed sensing 3D imaging for object representation
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DOI：10.1016/j.measurement.2025.116882.png)
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Compressed sensing-based millimeter-wave imaging technology offers a significant reduction in hardware costs for systems. However, the computational efficiency is severely impaired by the sizeable observational matrix constructed for the reconstruction of targets in large-scale scenes. In order to tackle this issue, we first construct a rapid imaging operator based on the imaging process. Secondly, we construct measurement dictionary matrices for targets at different distance units within the scene space. This conversion effectively separates the reconstruction of three-dimensional (3D) image into independent reconstructions along the plane dimension and the height dimension. By leveraging frequency modulation characteristics, we achieve distance focusing for distinct height layers, enables 3D imaging of the target. Finally, shrinking the target region of interest to be measured constrains the spatial size of the scene to be imaged, further improving the computational efficiency. Numerical results and experimental data both validate the effectiveness of this approach.
Keyword:
Millimeter-wave imaging
Compressed sensing
Frequency diversity
Distance stack
期刊
IF:
5.6
论文数:
2.0W
被引数:
5.4W
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