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Three-Dimensional Terahertz Coded-Aperture Imaging in Space Domain
As a promising radar imaging technique, terahertz coded-aperture imaging (TCAI) can achieve high-resolution, forward-looking, and staring imaging by producing spatiotemporal independent signals with coded apertures. However, traditional 3-DTCAI working in time domain, has two problems, that is, heav...
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Published in: | IEEE access 2018-01, Vol.6, p.32727-32736 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | As a promising radar imaging technique, terahertz coded-aperture imaging (TCAI) can achieve high-resolution, forward-looking, and staring imaging by producing spatiotemporal independent signals with coded apertures. However, traditional 3-DTCAI working in time domain, has two problems, that is, heavy computational burden caused by large-scale reference-signal matrix, and poor resolving ability under low signal-to-noise ratio (SNR). Frequency-domain (FD)-TCAI (FD-TCAI) is able to reduce the two problems only in a limited degree. Therefore, this paper first proposes a space-domain (SD)-TCAI (SD-TCAI) method, which achieves more effective and efficient 3-D imaging than FD-TCAI under low SNR. With correlation operation, SD-TCAI transforms the echo signals from frequency domain to space domain, where spike pulses appear in the target positions. According to different spike pulses, the 3-D imaging areas can be divided and reconstructed in parallel, and finally synthesized together to obtain the whole 3-D target. In this way, the computational burden is further reduced, leading to an improved SNR. In this paper, we build and present the imaging models and procedures of TD-TCAI, FD-TCAI, and SD-TCAI, respectively. The experimental results demonstrate that SD-TCAI has overwhelming superiority over TD-TCAI and FD-TCAI. Therefore, SD-TCAI has great potential in applications, such as security screening, nondestructive detection, and medical diagnosis. |
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ISSN: | 2169-3536 2169-3536 |
DOI: | 10.1109/ACCESS.2018.2847898 |