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作 者:陈诚[1] 刘涛 宋晓骥 粟毅[1] 金光虎[1] CHEN Cheng;LIU Tao;SONG Xiaoji;SU Yi;JIN Guanghu(College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China)
机构地区:[1]国防科技大学电子科学学院,湖南长沙410073
出 处:《系统工程与电子技术》2021年第8期2021-2027,共7页Systems Engineering and Electronics
基 金:国家自然科学基金(61901501,62001488)资助课题。
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。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.
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
分 类 号:TN958[电子电信—信号与信息处理]
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