1.苏州威陌电子信息科技有限公司, 江苏苏州 215312
2.清华大学电子工程系, 北京 100084
3.北京敏视达雷达有限公司, 北京 100094
[ "张继龙 男,1976年生于江苏泗阳.现为苏州威陌电子信息科技有限公司高级工程师.主要研究方向为微波技术与雷达信号处理.E-mail: jilongzhang@163.com" ]
[ "李业振 男,1990年生于山东日照.现为清华大学电子工程系微波与天线研究所工程师.主要研究方向为天线理论及设计.E-mail: yezhli1990@tsinghua.edu.cn" ]
[ "刘 勇 男,1986年生于天津宁河.现为清华大学电子工程系微波与天线研究所工程师.主要研究方向为微波技术与雷达信号处理.E-mail: liuyong565656@163.com" ]
[ "王 栋 男,1976年生于内蒙古乌兰察布市.现为北京敏视达雷达有限公司工程师.主要研究方向为雷达系统与电磁兼容研究.E-mail: w1976d@163.com" ]
收稿:2021-04-19,
修回:2021-08-17,
纸质出版:2022-05-25
移动端阅览
张继龙,李业振,刘勇等.基于透镜成像原理的微波阵列快速成像技术[J].电子学报,2022,50(05):1107-1116.
ZHANG Ji-long,LI Ye-zhen,LIU Yong,et al.A Novel Fast Imaging Technology of Microwave Array Based on Lens Imaging Principle[J].ACTA ELECTRONICA SINICA,2022,50(05):1107-1116.
张继龙,李业振,刘勇等.基于透镜成像原理的微波阵列快速成像技术[J].电子学报,2022,50(05):1107-1116. DOI: 10.12263/DZXB.20210495.
ZHANG Ji-long,LI Ye-zhen,LIU Yong,et al.A Novel Fast Imaging Technology of Microwave Array Based on Lens Imaging Principle[J].ACTA ELECTRONICA SINICA,2022,50(05):1107-1116. DOI: 10.12263/DZXB.20210495.
微波成像技术在雷达、制导、引信、安防、医疗等领域有极大的应用需求,本文研究了基于透镜成像原理的微波阵列快速成像技术,通过分析透镜成像系统的成像特性以及成像算法,提出了一种适用于阵列成像的快速算法,该方法仅需要执行一次IFFT(Inverse Fast Fourier Transform)运算即可获得目标的像. 所提出的新方法降低了算法复杂度,具有较快的运算速度. 最后进行了成像验证,采用微波暗室测试散射源近场数据,通过快速成像算法计算目标的像,实验结果证明新算法具有较好的成像效果.
In order to solve the microwave imaging problem which has great demand in the fields of radar
guidance
security and medical treatment
the microwave array fast imaging technology based on lens imaging principle is analyzed. Based on the analyzing of imaging characteristics and algorithm
a fast algorithm suitable for array imaging is proposed. In this method
only one-time IFFT(Inverse Fast Fourier Transform) operation is needed to obtain the image of the target. The proposed new method greatly reduces the complexity of the algorithm and has a faster computing speed. Finally
imaging verification is carried out. The microwave anechoic chamber is used to measure the near field data of the scattering source
and the image of the target is calculated. The experimental results confirm the effectiveness of the new fast imaging algorithm.
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