基于加权相关的探地雷达后向投影成像算法  

A Correlation Weighted Back Projection Imaging Algorithm for Ground Penetrating Radar

作　　者：陈鑫澎 李静霞 刘丽 徐航 王冰洁 张建国 CHEN Xinpeng;LI Jingxia;LIU Li;XU Hang;WANG Bingjie;ZHANG Jianguo(Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education,Taiyuan University of Technology,Jinzhong Shanxi 030600,China;College of Physics and Optoelectronics,Taiyuan University of Technology,Jinzhong Shanxi 030600,China)

机构地区：[1]太原理工大学新型传感器与智能控制教育部重点实验室,山西晋中030600 [2]太原理工大学物理与光电工程学院,山西晋中030600

出　　处：《电子器件》2022年第1期133-138,共6页Chinese Journal of Electron Devices

基　　金：国家自然科学基金项目(41604127,41704147);山西省自然科学基金项目(201801D121140,201801D221185,201801D121145);山西省重点研发计划项目(社会发展领域)(201803D31037,201803D121057)。

摘　　要：提出一种基于加权相关的后向投影成像算法以抑制经典后向投影算法中因“延时-求和”所带来的图像中的伪影。该算法通过加权和相关处理重构对成像区域中各点的反向散射响应。利用各回波通道之间的关联性,通过计算成像点所对应各回波通道之间的皮尔逊加权系数,为各通道回波幅值进行加权,其可增强目标区域的反射能量;然后,对加权后的幅值响应数据进行互相关,削弱了非目标区域反射能量。采用该算法对频率步进探地雷达探测得到的管线数据进行成像处理,实验结果表明:基于加权相关的后向投影算法能显著抑制图像中的伪影,有利于目标的识别。此外,对于多目标探测,该算法还能消除多目标叠影带来的虚假目标。A correlation weighted back projection imaging algorithm is proposed to suppress the artifacts, which caused by delay-sum algorithm in the classic back-projection imaging technique. This novel algorithm uses weighting and cross correlation to reconstruct the backscattering response of each point in the imaging region. The Pearson correlation coefficient of each echo channel is used as a weighting factor, which can enhance the reflected energy of the target area. Then, the cross correlation operation of the received data is calculated to weaken the reflection energy in the non-target region. We applied this algorithm into the stepped frequency signal radar to detect the underground pipes. The experimental results demonstrate that the proposed imaging algorithm can greatly reduce the artifacts in the image, which is beneficial for targets recognition. In addition, this imaging algorithm can eliminate the false target generated by the overlapping of multi-targets artifacts.

关 键 词：后向投影算法 探地雷达 管线探测 雷达成像 

分 类 号：TN95[电子电信—信号与信息处理]