基于稀疏信号处理的穿透成像增强算法

doi:10.12305/j.issn.1001-506X.2021.08.01

Abstract

Abstract:

Aiming at the problem that the accuracy and efficiency of non-destructive detection imaging cannot be effectively satisfied when using surface penetrating radar, a fast imaging enhancement algorithm based on sparse-signal processing is proposed. The proposed method combines L1-based regularization (L1R) sparse imaging with the alternating direction method of multipliers to solve the optimization function. Then, the complex image data with enhanced sparse features can be obtained through iterative operations according to the objective function. The experimental results show that the data processing speed of the proposed method can be 8 times that of L1R and the signal to clutter ratio improvement can be 20.91 dB. The results of comparison with other methods show that the algorithm can achieve high-quality imaging efficiently.

Key words: sparse-signal processing, non-destructive detection, alternating direction method of multipliers, surface penetrating radar

CLC Number:

TN958

Cheng CHEN, Tao LIU, Xiaoji SONG, Yi SU, Guanghu JIN. Penetration imaging enhancement algorithm based on sparse-signal processing[J]. Systems Engineering and Electronics, 2021, 43(8): 2021-2027.

Figures/Tables 9

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References 24

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方法	处理时间
方法	实验1	实验2
本文方法	0.22	0.21
L1R	1.86	0.64
K-Support	5.33	1.56
Elastic Net	1.89	0.67

方法	SCR参数
方法	仿真实验	实验1	实验2
处理前	10.14	12.25	8.64
本文方法	46.57	36.61	28.37
L1R	—	15.70	11.41
K-Support	—	30.17	22.83
Elastic Net	—	17.77	13.30

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Penetration imaging enhancement algorithm based on sparse-signal processing

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