TY - JOUR
T1 - Near-Field Millimeter-Wave Imaging via Arrays in the Shape of Polyline
AU - Wang, Shuoguang
AU - Li, Shiyong
AU - An, Qiang
AU - Zhao, Guoqiang
AU - Sun, Houjun
N1 - Publisher Copyright:
© 1963-2012 IEEE.
PY - 2022
Y1 - 2022
N2 - This article proposes a polyline-shaped array-based system scheme, associated with mechanical scanning along the array's perpendicular direction, i.e., the vertical direction, for near-field millimeter-wave (MMW) imaging. Each section of the polyline is a chord of a circle with equal length. The polyline array, which can be realized as a monostatic array or a multistatic one, is capable of providing more observation angles than the linear or planar arrays. Furthermore, we present the related 3-D imaging algorithms based on hybrid processing in the space domain and the spatial frequency domain. The nonuniform fast Fourier transform (NUFFT) is utilized to improve the computational efficiency. The proposed algorithm runs even faster than the wavenumber domain algorithms for linear or circular-arc multiple-input-multiple-output (MIMO) arrays. This is due to the fact that the latter needs higher dimensional processing that requires more memory usage and time. Numerical simulations and experimental results are provided to demonstrate the efficacy of the proposed technique in comparison with the most commonly used arrays and algorithms.
AB - This article proposes a polyline-shaped array-based system scheme, associated with mechanical scanning along the array's perpendicular direction, i.e., the vertical direction, for near-field millimeter-wave (MMW) imaging. Each section of the polyline is a chord of a circle with equal length. The polyline array, which can be realized as a monostatic array or a multistatic one, is capable of providing more observation angles than the linear or planar arrays. Furthermore, we present the related 3-D imaging algorithms based on hybrid processing in the space domain and the spatial frequency domain. The nonuniform fast Fourier transform (NUFFT) is utilized to improve the computational efficiency. The proposed algorithm runs even faster than the wavenumber domain algorithms for linear or circular-arc multiple-input-multiple-output (MIMO) arrays. This is due to the fact that the latter needs higher dimensional processing that requires more memory usage and time. Numerical simulations and experimental results are provided to demonstrate the efficacy of the proposed technique in comparison with the most commonly used arrays and algorithms.
KW - Millimeter-wave (MMW) imaging
KW - near field
KW - polyline-shaped array
KW - space domain
KW - spatial frequency domain
UR - http://www.scopus.com/inward/record.url?scp=85135764799&partnerID=8YFLogxK
U2 - 10.1109/TIM.2022.3194922
DO - 10.1109/TIM.2022.3194922
M3 - Article
AN - SCOPUS:85135764799
SN - 0018-9456
VL - 71
JO - IEEE Transactions on Instrumentation and Measurement
JF - IEEE Transactions on Instrumentation and Measurement
M1 - 4505017
ER -