基于正交频谱重构的微波三维成像方法

doi:10.12305/j.issn.1001-506X.2021.08.09

Abstract

Abstract:

The size of echo signal data of the tranditional microwave three-dimensional imaging system is extremely high. Compressed sensing imaging methods based on sparse representation of target scene can reduce the sampling rate and data size, but the dictionary matrix takes a lot of memory and has a poor imaging quality for continuously distributed target. For these problems, this paper constructs an orthogonal projection wavefront reconstruction model to reconstruct the target three-dimensional spectrum, which based on the analysis of the echo data's characteristics in three-dimensional frequency domain. To further optimize the reconstruction model, the minimum image entropy is used as the criterion to optimum estimate the regularization parameters of reconstruction. The proposed method has the advantages of higher computing speed, less memory space, and better imaging quality for the continuously distributed target. The computer simulation experiment and microwave anechoic chamber measurement experiment verify the effectiveness of the proposed method.

Key words: microwave imaging, three-dimensional imaging, spectrum reconstruction, sparse reconstruction, image entropy

CLC Number:

TN95

Yan ZHANG, Baoping WANG, Yang FANG, Zuxun SONG. Microwave 3D imaging method based on orthogonal spectrum reconstruction[J]. Systems Engineering and Electronics, 2021, 43(8): 2090-2098.

Figures/Tables 13

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References 30

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参数	数值
最小频率/GHz	8
最大频率/GHz	12
频率采样间隔/GHz	0.02
扫描长度/m	2×2
扫描间隔/m	0.04
雷达与目标中心最短距离/m	5

参数	数值
最小频率/GHz	8
最大频率/GHz	12
频率采样间隔/GHz	0.04
扫描长度/m	1×1
扫描间隔/m	0.02
雷达与目标中心最短距离/m	2

性能	方法
性能	频域插值方法	OMP方法	l₁-TV方法	本文方法
SSIM	0.849	0.792	0.913	0.935
内存占用/GB	0.580	269.804	270.374	2.072
计算耗时/s	11.870	1 802.241	9 012.472	315.375

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Microwave 3D imaging method based on orthogonal spectrum reconstruction

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