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1.国防科技大学电子科学学院智能感知系,湖南长沙410073
2.中国人民解放军第78156部队,重庆400000
Received:21 November 2022,
Revised:2023-07-19,
Published:25 January 2024
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邓桂林,邓彬,陈旭等.基于空间三维非均匀SISO阵列雷达的介质目标快速成像算法[J].电子学报,2024,52(01):274-287.
DENG Gui-lin,DENG Bin,CHEN Xu,et al.Fast Imaging Algorithm for Dielectric Target Based on Spatial Three Dimensional Non-Uniform SISO Array Radar[J].ACTA ELECTRONICA SINICA,2024,52(01):274-287.
邓桂林,邓彬,陈旭等.基于空间三维非均匀SISO阵列雷达的介质目标快速成像算法[J].电子学报,2024,52(01):274-287. DOI: 10.12263/DZXB.20221331.
DENG Gui-lin,DENG Bin,CHEN Xu,et al.Fast Imaging Algorithm for Dielectric Target Based on Spatial Three Dimensional Non-Uniform SISO Array Radar[J].ACTA ELECTRONICA SINICA,2024,52(01):274-287. DOI: 10.12263/DZXB.20221331.
近年来,随着高精度定位系统的迅猛发展,基于手持式毫米波雷达的阵列成像技术在无损检测和医疗成像等涉及介质内部结构成像的领域中引起了广泛关注.与常见的二维(Two-Dimensional,2D)平面单发单收(Single-Input-Single-Output,SISO)阵列不同的是,基于手持式毫米波雷达的阵列,其阵元通常非均匀分布于三维(Three-Dimensional,3D)空间中,导致现有的基于平面SISO阵列的对介质目标内部结构进行快速成像重构的算法无法适用.为此,本文提出了一种适用于空间3D非均匀SISO阵列雷达的半空间介质目标快速成像算法.该算法将空间3D非均匀SISO阵列的每一个阵元扩展为一个的虚拟阵列,然后将所有虚拟阵列的回波数据变换至波数域后进行相干累加,最后通过3D逆傅里叶变换(Inverse Fourie Transform,IFT)实现快速成像.数值仿真和实验测量表明,与同样适用于该场景的改进后向投影(Improved Backward Projection,IBP)算法相比,在本文给定的成像参数条件下,所提算法可以在保证成像质量的同时,将成像时间缩短94%以上.
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.
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