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Terahertz Impulse Imaging With Sparse Arrays and Adaptive Reconstruction

机译:具有稀疏阵列和自适应重建的太赫兹脉冲成像

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摘要

Terahertz (THz) impulse imaging has many applications in security and nondestructive testing. Sparse THz arrays can dramatically reduce array complexity for imaging applications requiring a large field of view. Sparse arrays employing narrowband waves suffer from grating lobe artifacts that severely degrade image quality. However, the short coherence length of single-cycle THz pulses provides an opportunity to overcome this limitation. Grating lobe artifacts can be suppressed with an adaptive weighting factor based on the temporal coherence of signals from neighboring array elements. The spatial coherence of signals across the entire array can further improve image quality in an adaptive manner. We experimentally demonstrate a 56 × 56 element 2-D sparse THz array that adaptively suppresses grating lobe artifacts by 30 dB. The success of this adaptive processing relies on the single-cycle nature of the pulses employed in THz impulse imaging.
机译:太赫兹(THz)脉冲成像在安全性和无损检测中有许多应用。对于需要大视野的成像应用,稀疏THz阵列可以大大降低阵列的复杂性。采用窄带波的稀疏阵列遭受光栅波瓣伪影的影响,这严重降低了图像质量。然而,单周期太赫兹脉冲的短相干长度提供了克服此限制的机会。可以基于来自相邻阵列元素的信号的时间相干性,通过自适应加权因子来抑制光栅波瓣伪影。整个阵列上信号的空间相干性可以自适应方式进一步改善图像质量。我们通过实验证明了一个56×56元素的2D稀疏THz阵列,可以自适应地将光栅波瓣伪影抑制30 dB。这种自适应处理的成功取决于在THz脉冲成像中采用的脉冲的单周期性质。

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