摘要
随着对地下探测场景的不断扩大,传统探地雷达系统收发一体、逐点采集的数据获取方式已无法满足实时性需求。近年来,MIMO雷达实时性的优势不断凸显,因此研究基于MIMO的探地雷达数据处理和成像方法很有必要。本文在传统探地雷达偏移成像方法的基础上,针对MIMO探地雷达的空耦合成像问题,提出了一种基于Kirchhoff的MIMO探地雷达成像方法并给出了频域的严格证明,同时引入远点补偿和折射点近似算法,实现了空耦合情况下的对地精确成像。最后,利用本文所提算法对gprMax仿真数据进行成像处理,结果表明所提算法对地下点目标的成像位置偏差达到毫米级,在成像精度上也优于传统成像方法。
With the continuous expansion of the underground detection scene,the traditional data acquisition method of GPR system is unable to meet the real-time requirements.In recent years,the real-time performance of MIMO radar has become increasingly prominent,so it is necessary to study the data processing and imaging methods of GPR based on MIMO.In this paper,based on the traditional GPR migration imaging method,aiming at the problem of spatial coupling of MIMO GPR,a new MIMO GPR imaging method based on Kirchhoff is proposed,and the strict proof of frequency domain is given.At the same time,the remote point compensation and refraction point approximation method are introduced to realize the real-time imaging of the ground in the case of spatial coupling.Finally,the gprMax simulation data is imaged by the proposed algorithm.The results show that the proposed algorithm can image the subsurface point target with a deviation of millimeter level,and also outperforms the traditional imaging methods in terms of imaging accuracy.
作者
孙浩然
兰天
杨小鹏
SUN Haoran;LAN Tian;YANG Xiaopeng(Radar Research Lab,School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China;Beijing Institute of Technology Chongqing Innovation Center,Chongqing 401120,China)
出处
《信号处理》
CSCD
北大核心
2022年第2期276-284,共9页
Journal of Signal Processing
基金
国家自然基金项目(61860206012)
重庆市自然基金项目(cstc2020jcyj-msxmX0768)。
关键词
多输入多输出
探地雷达
基尔霍夫方法
空耦合
multiple input multiple output
ground penetrating radar
Kirchhoff method
spatial coupling
