基于超材料天线的超分辨关联成像的改进

doi:10.12305/j.issn.1001-506X.2021.12.12

Abstract

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

CLC Number:

TN95

Feng RUAN, Xialei LU, Liang GUO, Yachao LI. Improvement of super-resolution correlated imaging based on metamaterial antenna[J]. Systems Engineering and Electronics, 2021, 43(12): 3510-3517.

Figures/Tables 10

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仿真参数	取值
场景中心距离R_s/m	5 000
初始载频f_c/GHz	35
频率步进阶梯Δf/MHz	30
脉冲采样次数Q/次	25
脉冲宽度T_p/μ	6
采样频率F_s/MHz	200
载体速度v/(m/s)	0

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Improvement of super-resolution correlated imaging based on metamaterial antenna

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