A High-Precision Frequency-Domain Imaging Algorithm of Millimeter-wave Sparse Planar Array

被引:0
|
作者
Meng X.-X. [1 ]
Liu T.-R. [1 ]
Da M. [1 ]
Liu Z.-X. [1 ]
机构
[1] Brainware Terahertz Information Technology Company Limited, Hefei, 230088, Anhui
来源
关键词
FFT-based algorithm; Handheld human body security inspection; Noise robustness; Sparse planner array; The modified RMA algorithm;
D O I
10.3969/j.issn.0372-2112.2020.08.004
中图分类号
学科分类号
摘要
Sparse cross array that operating in the 90~94GHz frequency band was designed for the handheld millimeter-wave human body security inspection.The time-domain correlation algorithm and the modified range migration algorithm (RMA)were chosen as image reconstruction methods.Due to the existence of spherical wave expansion approximation and complex interpolation processes in the deriving of the modified RMA algorithm, a high-precision FFT-based imaging algorithm without spherical wave expansion and complex interpolations was proposed.The electromagnetic simulation software was used to build target model obtaining raw echo data, the resolution test and noise robustness verification experiments were carried out.The azimuth resolution can achieve 5mm, which meets the system design requirements, and verifies the effectiveness of the proposed algorithm.The computational efficiency of the proposed algorithm is better than that of the time-domain correlation algorithm and the noise robustness is better than the modified RMA algorithm.It can be concluded that the proposed algorithm is a better choice in real-time imaging scenarios of the handheld millimeter-wave human body security inspection. © 2020, Chinese Institute of Electronics. All right reserved.
引用
收藏
页码:1479 / 1485
页数:6
相关论文
共 18 条
  • [1] Zhuge X D, Yarovoy A G., Three-dimensional near-field MIMO array imaging using range migration techniques, IEEE Transactions on Image Processing, 21, 6, pp. 3026-3033, (2012)
  • [2] Zhuge X D, Yarovoy A G., Study on two-dimensional sparse MIMO UWB arrays for high resolution near-field imaging, IEEE Transactions on Antennas and Propagation, 60, 9, pp. 4173-4182, (2012)
  • [3] Ahmed S S, Schiessl A, Gumbann F, Et al., Advanced microwave imaging, IEEE Microwave Magazine, 13, 6, pp. 26-43, (2012)
  • [4] Ahmed S S, Schiessl A, Schmidt L P., A novel fully electronic active real-time imager based on a planar multistatic sparse array, IEEE Transactions on Microwave Theory and Technoques, 59, 12, pp. 3567-3576, (2011)
  • [5] Zhao Yujiao, Cheng Binbin, Liu Jie, Jiang Jiqun, Yu Yang, Two-dimensional sparse array topology for millimeter-wave near-field imaging, System Engineering and Electronics, 40, 9, pp. 1926-1930, (2018)
  • [6] Tian He, Li Daojing, Qi Chunchao, Millimeter-wave human security imaging based on frequency-domain sparsity and rapid imaging sparse array architecture, Journal of Radars, 7, 3, pp. 376-386, (2018)
  • [7] Huang Qiong, Chen jie, Meng Shengwei, Fang Guangyou, 3-D fast imaging algorithm for ultra-wide band through-wall radar, Journal of Data Acquisition & Processing, 24, S, pp. 136-140, (2009)
  • [8] Liu Pengfei, Study on the technology of three-dimensional through-the-wall imaging, National University of Defense Technology, (2014)
  • [9] Baccouche B, Keil A, Kahl M, Et al., A sparse array based sub-terahertz imaging system for volume inspection, European Microwave Conference, pp. 438-441, (2015)
  • [10] Wang Wu, 3D near-field imaging using MIMO radar, National University of Defense Technology, (2015)