Analysis of Array Sparsity in Active Incoherent Microwave Imaging
Analysis of Array Sparsity in Active Incoherent Microwave Imaging
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DOI：
10.1109/lgrs.2019.2914871
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发表时间：
2020-01-01
影响因子：
4.8
通讯作者：
Nanzer, Jeffrey A.
中科院分区：
文献类型：
--
作者：
Vakalis, Stavros;Nanzer, Jeffrey A.
最近开发的主动非相干成像技术使用噪声波形和空间频率采样来重建微波频率范围内的图像。通过传输空间上不相干的噪声信号，可以使用傅立叶处理对由以稀疏阵列布局形成的一小组接收天线测量的数据重建场景，与无源傅立叶域成像器相比具有更少的带宽和更快的成像时间。在这封信中，显着减少接收天线阵列中的元素的数量的能力进行了分析。一个5.85 GHz的实验1-D成像系统被用来确定减少阵列中的元素的数量对图像重建的影响。该实验系统利用80 MHz的信号捕获在10 μ s的片段产生1-D图像的两个反射圆柱体。分析了三种阵列稀疏技术：均匀单元去除、随机单元去除和最小基线冗余设计。稀疏性分析表明，图像重建可以完成与一个充满线性阵列相比，减少75%的元素，与均方根误差（RMSE）退化小于5%。
A recently developed active incoherent imaging technique uses noise waveforms and spatial frequency sampling to reconstruct images in the microwave frequency range. By transmitting spatially incoherent noise signals, a scene can be reconstructed using Fourier processing on data measured by a small set of receiving antennas formed in a sparse array layout, with less bandwidth and faster imaging time than passive Fourier-domain imagers. In this letter, the ability to significantly reduce the number of elements in the receiving antenna array is analyzed. A 5.85-GHz experimental 1-D imaging system is used to determine the effects of reducing the number of elements in the array on image reconstruction. The experimental system utilized 80-MHz signals captured in 10-mu s segments to generate 1-D images of two reflecting cylinders. Three array thinning techniques were analyzed: uniform element removal, random element removal, and minimum baseline redundancy design. The sparsity analysis shows that image reconstruction can be accomplished with a 75% reduction in elements compared to a filled linear array, with root-mean-square error (RMSE) degradation of less than 5%.