摘要
在医疗诊断、目标预警、无损探伤等诸多民用和军用领域中,非接触的实时微波成像技术具有重要研究意义。基于逆散射成像理论,非迭代的反演思路具备天然的实时计算能力,但其成像结果粗糙难以实用。为了提高反演图像质量,提出一种基于稀疏感应电流的实时微波成像方法。该方法利用稀疏先验信息和压缩感知算法求解成像区域中的感应电流,并结合传统非迭代反演框架实现实时成像。全波仿真结果和微波成像系统实验验证了所提方法的有效性。相比于传统非迭代反演结果,所提方法在成像质量和成像速度方面有显著提高,在实时监测、快速成像等场合具有重要应用潜力。
In many civil and military fields such as medical diagnosis,target early warning,and nondestructive testing,the noncontact realtime microwave imaging technology is of great significance.Though the inverse scattering imaging theory based noniterative inversion method has natural realtime computing ability,its imaging results are poor and difficult to be practically utilized.To improve the inversion image quality,a sparse induction current realtime microwave imaging method is proposed.This method uses sparse prior information and a compressed sensing algorithm to solve the induced current in the imaging area,then combines the traditional noninterative inversion framework to achieve realtime imaging.Fullwave simulation results and microwave imaging system experiments verify the effectiveness of the proposed method.Compared with the traditional noniterative inversion results,the proposed method has significant improvement in imaging quality and imaging speed for potential application in realtime monitoring and rapid imaging.
作者
董旭
Dong Xu(Faculty of Electrical Engineering and Computer Science,Ningbo University,Ningbo 315211,Zhejiang,China)
出处
《激光与光电子学进展》
CSCD
北大核心
2023年第10期314-320,共7页
Laser & Optoelectronics Progress
关键词
成像系统
微波成像
压缩感知
感应电流
实时
imaging systems
microwave imaging
compressed sensing
induced current
realtime
