基于快速傅里叶变换的扫描单发单收面阵近场成像技术
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(国防科技大学 电子科学学院, 湖南 长沙 410073)

作者简介:

陈旭(1995—),男,吉林白城人,博士研究生,E-mail:chenx@nudt.edu.cn; 邓彬(通信作者),男,副研究员,博士,硕士生导师,E-mail:dengbin@nudt.edu.cn

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中图分类号:

TN95

基金项目:

国家自然科学基金面上资助项目(61871386,61971427);国家自然科学基金创新研究群体资助项目(61921001);湖南省杰出青年基金资助项目(2019JJ20022)


Fast Fourier transform-based scanning single-input-single-output array near-field imaging technology
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(College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China)

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    摘要:

    近年来,扫描单发单收面阵近场成像技术在安检、医疗等民用领域中引起了广泛关注。然而,传统的距离徙动算法在对回波进行处理的过程中无法避免多步近似和插值操作,并且忽视了信号传播衰减带来的不利影响。因此,提出了一种基于快速傅里叶变换的扫描单发单收面阵近场成像技术,该技术通过保留回波模型中的幅度衰减因子,并根据目标回波方程特性对方位维和高度维执行卷积操作,应用快速傅里叶变换以及相干累加等步骤对回波进行处理得到最终的目标图像。仿真分析和实验结果表明,所提方法不仅可以在保证图像重构效率的前提下提升重构质量,还能够有效减少信号空间传播损耗对较远处目标带来的成像质量损失。

    Abstract:

    In recent years, the scanning SISO(single-input-single-output) array near-field imaging technology has attracted widespread attention in civilian fields, such as security inspection and medical treatment. However, during the echo processing of traditional range migration algorithm, the multi-step approximation and interpolation operation cannot be avoided, and the adverse effect caused by signal propagation attenuation is ignored. Therefore, this research proposed a FFT (fast Fourier transform)-based scanning SISO array near-field imaging technology in which the amplitude attenuation factor in the echo model was preserved. The convolution operation on azimuth and altitude dimensions was performed according to the characteristics of the target echo equation. The target image could be obtained by applying FFT and coherent accumulation steps. Simulation analysis and experimental results show that the proposed method can not only improve the target image quality while ensuring the efficiency of image reconstruction, but also effectively reduce the impact of signal spatial propagation loss on the imaging quality.

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陈旭,杨琪,邓彬,等.基于快速傅里叶变换的扫描单发单收面阵近场成像技术[J].国防科技大学学报,2022,44(1):1-7.
CHEN Xu, YANG Qi, DENG Bin, et al. Fast Fourier transform-based scanning single-input-single-output array near-field imaging technology[J]. Journal of National University of Defense Technology,2022,44(1):1-7.

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  • 收稿日期:2020-01-31
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  • 在线发布日期: 2022-01-19
  • 出版日期: 2022-02-28
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