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Towards large-scale single-shot millimeter-wave imaging for low-cost security inspection.
Bian, Liheng; Li, Daoyu; Wang, Shuoguang; Teng, Chunyang; Wu, Jinxuan; Liu, Huteng; Xu, Hanwen; Chang, Xuyang; Zhao, Guoqiang; Li, Shiyong; Zhang, Jun.
Afiliação
  • Bian L; State Key Laboratory of CNS/ATM & MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, 100081, Beijing, China. bian@bit.edu.cn.
  • Li D; Guangdong Province Key Laboratory of Intelligent Detection in Complex Environment of Aerospace, Land and Sea, Beijing Institute of Technology, Zhuhai, 519088, China. bian@bit.edu.cn.
  • Wang S; State Key Laboratory of CNS/ATM & MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, 100081, Beijing, China.
  • Teng C; Beijing Key Laboratory of Millimeter Wave and Terahertz Technology, Beijing Institute of Technology, 100081, Beijing, China.
  • Wu J; Academy for Network & Communications of CETC, Key Laboratory of Hebei Province on Unmanned System Intelligent Telemetry & Telecontrol Information Technology, 050050, Shijiazhuang, China.
  • Liu H; Beijing Key Laboratory of Millimeter Wave and Terahertz Technology, Beijing Institute of Technology, 100081, Beijing, China.
  • Xu H; State Key Laboratory of CNS/ATM & MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, 100081, Beijing, China.
  • Chang X; Beijing Key Laboratory of Millimeter Wave and Terahertz Technology, Beijing Institute of Technology, 100081, Beijing, China.
  • Zhao G; State Key Laboratory of CNS/ATM & MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, 100081, Beijing, China.
  • Li S; State Key Laboratory of CNS/ATM & MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, 100081, Beijing, China.
  • Zhang J; Beijing Key Laboratory of Millimeter Wave and Terahertz Technology, Beijing Institute of Technology, 100081, Beijing, China.
Nat Commun ; 15(1): 6459, 2024 Jul 31.
Article em En | MEDLINE | ID: mdl-39085225
ABSTRACT
Millimeter-Wave (MMW) imaging is a promising technique for contactless security inspection. However, the high cost of requisite large-scale antenna arrays hinders its widespread application in high-throughput scenarios. Here, we report a large-scale single-shot MMW imaging framework, achieving low-cost high-fidelity security inspection. We first analyzed the statistical ranking of each array element through 1934 full-sampled MMW echoes. The highest-ranked elements are preferentially selected based on the ranking, building the experimentally optimal sparse sampling strategy that reduces antenna array cost by one order of magnitude. Additionally, we derived an untrained interpretable learning scheme, realizing robust and accurate MMW image reconstruction from sparsely sampled echoes. Last, we developed a neural network for automatic object detection, and experimentally demonstrated successful detection of concealed centimeter-sized targets using 10% sparse array, whereas all the other contemporary approaches failed at such a low sampling ratio. With the strong detection ability and order-of-magnitude cost reduction, we anticipate that this technique provides a practical way for large-scale single-shot MMW imaging.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido