Range Migration Algorithm for a Multistatic 3D Compressive Computational Imaging System with Dynamic Metasurface Aperture
Range Migration Algorithm for a Multistatic 3D Compressive Computational Imaging System with Dynamic Metasurface Aperture
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DOI：
10.23919/irs57608.2023.10172481
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发表时间：
2023-05
期刊：
影响因子：
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通讯作者：
Vasiliki Skouroliakou;A. Molaei;M. García-Fernández;G. Álvarez-Narciandi;O. Yurduseven
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文献类型：
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作者：
Vasiliki Skouroliakou;A. Molaei;M. García-Fernández;G. Álvarez-Narciandi;O. Yurduseven
动态超表面孔径（DMAs）使计算成像技术得以应用，相较于传统合成孔径雷达（SAR）系统，它在硬件方面具有显著优势。然而，由于接收端的信号通常被压缩到一个或几个通道，信号处理层变得更加复杂。传统上，人们提出了空间域图像重建算法来解决这一局限，该算法涉及通常为不适定的感知矩阵的计算。因此，空间域技术可能在计算上昂贵且耗时。或者，近期研究已证明，可以采用预处理解压缩步骤来解压缩信号，并将其转换为常规多基地信号的形式。然后，可以使用距离徙动技术在频域中完全进行图像重建。在本文中，我们为用于三维（3D）近场成像的基于静态多基地DMA的系统开发了一个解压缩步骤。应用所提出的步骤后，可以使用常规距离徙动算法（RMA）重建图像。仿真结果验证了所提出的技术能够生成高质量图像。此外，与传统空间域算法相比，整体重建时间显著减少。
Dynamic metasurface apartures (DMAs) enable the use of computational imaging techniques, which offer significant advantages in terms of hardware with respect to traditional synthetic aperture radar (SAR) systems. However, since the signal on the receiver side is usually compressed to one or a few channels, the signal processing layer becomes more complicated. Traditionally, spatial domain image reconstruction algorithms have been proposed to address this limitation, which involve the computation of a usually ill-posed sensing matrix. As a result, spatial domain techniques can be computationally expensive and time consuming. Alternatively, recent studies have proven that a pre-processing decompression step can be employed to decompress the signal and transform it into the form of a conventional multistatic signal. Then, image reconstruction can be performed fully in the frequency domain using range migration techniques. In this paper, we develop a decompression step for a stationary multistatic DMA-based system used for three-dimensional (3D) near-field imaging. After the proposed step is applied, the image can be reconstructed using the conventional range migration algorithm (RMA). The simulation results verify that high-quality images can be produced with the proposed technique. Additionally, the overall reconstruction time is significantly reduced in comparison with traditional spatial domain algorithms.