Compressive sensing for direct millimeter-wave holographic imaging
Compressive sensing for direct millimeter-wave holographic imaging
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DOI：
10.1364/ao.54.003280
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发表时间：
2015-04-10
期刊：
影响因子：
1.9
通讯作者：
Chen, Zhiqiang
中科院分区：
文献类型：
--
作者：
Qiao, Lingbo;Wang, Yingxin;Chen, Zhiqiang
直接毫米波全息成像技术利用外差混频技术同时提供幅度和相位信息，被认为是人员安全监视的有力工具。然而，MWW成像系统通常遭受阵列或单像素系统的高成本或相对长的数据采集周期的问题。本文将以稀疏采样为目标的压缩感知方法推广到直接毫米波全息成像中，以减少天线单元数量或数据采集时间。首先，从标量衍射理论出发，推导了毫米波直接全息再现的精确公式。然后，CS重建策略的复值毫米波图像的基础上推导出的重建公式。为了追求近场毫米波成像和更复杂的成像目标的适用性，三个稀疏基，包括总方差，小波，曲波，评估的CS重建毫米波图像。我们还讨论了不同的采样模式，单像素，线阵和二维阵列毫米波成像系统。仿真和实验都证明了以1/2甚至1/4的奈奎斯特速率从测量中恢复毫米波图像的可行性。(C)2015美国光学学会
Direct millimeter-wave (MMW) holographic imaging, which provides both the amplitude and phase information by using the heterodyne mixing technique, is considered a powerful tool for personnel security surveillance. However, MWW imaging systems usually suffer from the problem of high cost or relatively long data acquisition periods for array or single-pixel systems. In this paper, compressive sensing (CS), which aims at sparse sampling, is extended to direct MMW holographic imaging for reducing the number of antenna units or the data acquisition time. First, following the scalar diffraction theory, an exact derivation of the direct MMW holographic reconstruction is presented. Then, CS reconstruction strategies for complex-valued MMW images are introduced based on the derived reconstruction formula. To pursue the applicability for near-field MMW imaging and more complicated imaging targets, three sparsity bases, including total variance, wavelet, and curvelet, are evaluated for the CS reconstruction of MMW images. We also discuss different sampling patterns for single-pixel, linear array and two-dimensional array MMW imaging systems. Both simulations and experiments demonstrate the feasibility of recovering MMW images from measurements at 1/2 or even 1/4 of the Nyquist rate. (C) 2015 Optical Society of America