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

系统工程与电子技术 ›› 2021, Vol. 43 ›› Issue (8): 2021-2027.doi: 10.12305/j.issn.1001-506X.2021.08.01

• 电子技术 • 下一篇

基于稀疏信号处理的穿透成像增强算法

陈诚, 刘涛*, 宋晓骥, 粟毅, 金光虎

国防科技大学电子科学学院, 湖南长沙 410073

收稿日期:2020-09-30 出版日期:2021-08-01 发布日期:2021-08-05
通讯作者: 刘涛
作者简介:陈诚(1994—), 男, 博士研究生, 主要研究方向为雷达探测|刘涛(1988—), 男, 讲师, 博士, 主要研究方向为新体制雷达系统与技术|宋晓骥(1990—), 男, 讲师, 博士, 主要研究方向为新体制雷达系统与技术|粟毅(1961—), 男, 教授, 博士研究生导师, 博士, 主要研究方向为新体制雷达系统与技术|金光虎(1980—), 男, 副研究员, 硕士研究生导师, 博士, 主要研究方向为雷达信号处理
基金资助:
国家自然科学基金(61901501);国家自然科学基金(62001488)

Penetration imaging enhancement algorithm based on sparse-signal processing

Cheng CHEN, Tao LIU*, Xiaoji SONG, Yi SU, Guanghu JIN

College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China

Received:2020-09-30 Online:2021-08-01 Published:2021-08-05
Contact: Tao LIU

摘要/Abstract

摘要：

针对表层穿透雷达应用于无损检测成像时精度与效率难以同时有效满足的问题, 提出一种基于稀疏信号处理的穿透成像增强算法。该方法在基于l₁范数正则化(L1-based regularization, L1R)稀疏成像方法的基础上, 结合交替方向乘子法求解最优化函数, 并根据目标函数通过对偶迭代运算得到稀疏特征增强后的复图像数据。实测结果表明, 所提方法与L1R方法相比, 数据处理速度达8倍, 信杂比改善程度达20.91 dB, 与其他方法的对比实验结果也表明, 该算法能在保持运算速度的条件下实现高质量成像。

关键词: 稀疏信号处理, 无损检测, 交替方向乘子法, 表层穿透雷达

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

中图分类号:

TN958

陈诚, 刘涛, 宋晓骥, 粟毅, 金光虎. 基于稀疏信号处理的穿透成像增强算法[J]. 系统工程与电子技术, 2021, 43(8): 2021-2027.

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.

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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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基于稀疏信号处理的穿透成像增强算法

Penetration imaging enhancement algorithm based on sparse-signal processing

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