基于频域稀疏压缩感知的雷达目标三维散射中心反演方法

doi:10.12305/j.issn.1001-506X.2022.09.11

Abstract

Abstract:

The microwave antenna structure based on planar array has the ability to obtain the three-dimensional (3D) distribution of scattering centers on observed object under multi-angles. To improve the poor accuracy of imaging and scattering center inversion caused by the sparse aperture distribution in planar array, a sparse aperture distribution method based on combined Barker sequence is designed. We use sparse aperture echo and principal component analysis (PCA) of frequency domain to get referential complex signals. Then the interferometry is implemented between the original echo and the referential complex signal, and the sparse representation of the echo spectrum is acquired. The 3D distribution model of the target scattering center based on compressed sensing (CS) is established in the frequency domain, and the optimization algorithm is employed to solve the model and obtain the reconstructed 3D spectrum of the target. By inverse transformation to the spatial domain, the reconstruction of the amplitude and 3D position of the target scattering center are realized. The result of experimental data of the anechoic chamber verifies that under the condition of X-band and sparse sampling rate of 50%, the proposed method has a 3D location extraction accuracy of above 90%.

Key words: sparse aperture, principal component analysis (PCA), compressed sensing (CS), three-dimensional (3D) image reconstruction

CLC Number:

TN959.74

He TIAN, Chunzhu DONG, Hongcheng YIN. Radar target three-dimensional scattering centers inversion based on compressed sensing and frequency sparsity[J]. Systems Engineering and Electronics, 2022, 44(9): 2783-2790.

Figures/Tables 10

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参数名称	参数数值
工作波长/m	0.03
观测距离/m	1.60
信号带宽/GHz	4
天线扫描面大小/m²	1.00×1.00
X方向采样点数	51
Y方向采样点数	51
Z方向采样点数	201
X方向分辨率/m	0.026 6
Y方向分辨率/m	0.026 6
Z方向分辨率/m	0.037 5

算法	评价指标
算法	相关系数	RMSE/m	SSIM
匹配滤波	0.652 7	0.199 5	0.867 4
PCA+CS	0.909 6	0.106 7	0.962 1
CS	0.873 4	0.123 3	0.922 0
LPF	0.801 2	0.158 7	0.900 1

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Radar target three-dimensional scattering centers inversion based on compressed sensing and frequency sparsity

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