系统工程与电子技术 ›› 2021, Vol. 43 ›› Issue (12): 3510-3517.doi: 10.12305/j.issn.1001-506X.2021.12.12

• 传感器与信号处理 • 上一篇    下一篇

基于超材料天线的超分辨关联成像的改进

阮锋1, 卢夏雷1, 郭亮1,*, 李亚超2   

  1. 1. 西安电子科技大学物理与光电工程学院, 陕西 西安 710071
    2. 西安电子科技大学电子工程学院, 陕西 西安 710071
  • 收稿日期:2020-11-05 出版日期:2021-11-24 发布日期:2021-11-30
  • 通讯作者: 郭亮
  • 作者简介:阮锋(1980—), 男, 研究员, 博士研究生, 主要研究方向为计算成像|卢夏雷(1996—), 男, 硕士研究生, 主要研究方向为雷达成像|郭亮(1983—), 男, 教授, 博士研究生导师, 博士, 主要研究方向为雷达成像, 激光雷达成像|李亚超(1981—), 男, 教授, 博士研究生导师, 博士, 主要研究方向为SAR/ISAR成像、双基SAR/ISAR成像
  • 基金资助:
    陕西省创新能力支撑计划(2019TD-002);高分专项(11-H37B02-9001-19/22);国家重点研发计划(2018YFA0701903)

Improvement of super-resolution correlated imaging based on metamaterial antenna

Feng RUAN1, Xialei LU1, Liang GUO1,*, Yachao LI2   

  1. 1. School of Physics and Optoelectronic Engineering, Xidian University, Xi'an 710071, China
    2. School of Electronic Engineering, Xidian University, Xi'an 710071, China
  • Received:2020-11-05 Online:2021-11-24 Published:2021-11-30
  • Contact: Liang GUO

摘要:

近几年新型的超材料天线相比于传统的相控阵有着多方面的优势,但是由于超材料天线的正常工作必须要有变频信号的辅助,而目前的超分辨成像算法没有补偿由于频率变动产生的误差,导致成像质量严重下降甚至不能成像。此外,回波信号中频率的变动和不同的距离互相耦合,导致不能简单的直接补偿掉误差相位。因此,提出一种基于压缩感知的超分辨关联成像算法的改进方法,将基于压缩感知的超分辨关联成像算法和超材料天线结合在一起,实现了低系统复杂度、低成本、高分辨率的微波关联成像。通过设计仿真实验证实了所提方法的正确性,并且验证了此方法对于二维和三维成像均可以处理。

关键词: 关联成像, 压缩感知, 超分辨, 超材料天线

Abstract:

In recent years, compared with the traditional phased array, the new metamaterial antenna has many advantages. However, the normal operation of the metamaterial antenna must be assisted by the frequency conversion signal, and the current super-resolution imaging algorithm does not compensate the error caused by the frequency variation, resulting in the serious decline of the imaging quality or even the inability of imaging. In addition, the frequency variation and different distances in the echo signal are coupled with each other, so the error phase can not be compensated directly. Therefore, an improved method of super-resolution correlation imaging algorithm based on compressed sensing is proposed. The super-resolution correlation imaging algorithm based on compressed sensing is combined with metamaterial antenna to realize microwave correlation imaging with low system complexity, low cost and high resolution. The correctness of the proposed method is verified by design simulation experiments, and it is verified that this method can process both two-dimensional and three-dimensional imaging.

Key words: correlated imaging, compressed sensing, super resolution, metamaterial antenna

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