Fast Imaging Algorithm for Dielectric Target Based on Spatial Three Dimensional Non-Uniform SISO Array Radar

被引:0
|
作者
Deng G.-L. [1 ,2 ]
Deng B. [1 ]
Chen X. [1 ]
Zeng Y. [1 ]
机构
[1] College of Electronic Science and Technology, National University of Defense Technology, Hunan, Changsha
[2] Unit 78156 of the PLA, Chongqing
来源
基金
中国国家自然科学基金;
关键词
3D non-uniform SISO array; fast imaging algorithm; half space medium target; virtual uniform array; wavenumber domain;
D O I
10.12263/DZXB.20221331
中图分类号
学科分类号
摘要
In recent years, with the rapid development of high-precision orientation system, the imaging array based on handheld millimeter wave radar has attracted extensive attention in the fields involving internal structure imaging such as nondestructive testing and medical imaging. Different from the common two-dimensional (2D) planar single-input-single-output (SISO) array, the elements of the handheld millimeter wave radar imaging array are usually unevenly distributed in three-dimensional (3D) space, which means that the existing fast imaging algorithms for dielectric targets are inapplicable. In this paper, a fast imaging algorithm for 3D non-uniform SISO array is proposed. The proposed algorithm expands each element of the 3D spatial random array into a virtual uniform array, and then transforms the data of all virtual arrays into wavenumber domain and coherently accumulates them, and finally performs fast imaging through 3D inverse fast Fourier transform (IFFT). Under the imaging parameters given in this paper, numerical simulation and experimental measurements show that the proposed algorithm can achieve the same imaging quality with reducing the imaging time by more than 94% compared with the improved backward projection (IBP) algorithm. © 2024 Chinese Institute of Electronics. All rights reserved.
引用
收藏
页码:274 / 287
页数:13
相关论文
共 26 条
  • [1] GAO J K, QIN Y L, DENG B, Et al., Novel efficient 3D short-range imaging algorithms for a scanning 1D-MIMO array, IEEE Transactions on Image Processing, 27, 7, pp. 3631-3642, (2018)
  • [2] ZHU R Q, ZHOU J X, JIANG G, Et al., Range migration algorithm for near-field MIMO-SAR imaging, IEEE Geoscience and Remote Sensing Letters, 14, 12, pp. 2280-2284, (2017)
  • [3] ZHANG W J, HOORFAR A., MIMO ground penetrating radar imaging through multilayered subsurface using total variation minimization, IEEE Transactions on Geoscience and Remote Sensing, 57, 4, pp. 2107-2115, (2019)
  • [4] SALEHI-BARZEGAR A, CHELDAVI A, NAYYERI V, Et al., A fast diffraction tomography algorithm for 3-D through-the-wall radar imaging using nonuniform fast Fourier transform, IEEE Geoscience and Remote Sensing Letters, 19, pp. 1-5, (2022)
  • [5] ZHANG X X, LIANG J, WANG N, Et al., Broadband millimeter-wave imaging radar-based 3-D holographic reconstruction for nondestructive testing, IEEE Transactions on Microwave Theory and Techniques, 68, 3, pp. 1074-1085, (2020)
  • [6] CASE J T, GHASR M T, ZOUGHI R., Optimum two-dimensional uniform spatial sampling for microwave SAR-based NDE imaging systems, IEEE Transactions on Instrumentation and Measurement, 60, 12, pp. 3806-3815, (2011)
  • [7] CASE J T, GHASR M T, ZOUGHI R., Optimum 2-D nonuniform spatial sampling for microwave SAR-based NDE imaging systems, IEEE Transactions on Instrumentation and Measurement, 61, 11, pp. 3072-3083, (2012)
  • [8] WU S X, DING L, LI P, Et al., Millimeter-wave SAR sparse imaging with 2-D spatially pseudorandom spiral-sampling pattern, IEEE Transactions on Microwave Theory and Techniques, 68, 11, pp. 4672-4683, (2020)
  • [9] LI Z, WANG J, WU J J, Et al., A fast radial scanned near-field 3-D SAR imaging system and the reconstruction method, IEEE Transactions on Geoscience and Remote Sensing, 53, 3, pp. 1355-1363, (2015)
  • [10] ALVAREZ-NARCIANDI G, LAVIADA J, LAS-HERAS F., Freehand mm-wave imaging with a compact MIMO radar, IEEE Transactions on Antennas and Propagation, 69, 2, pp. 1224-1229, (2021)