地球与行星物理论评（中英文）2025，Vol.56Issue(5)：496-513,18.DOI:10.19975/j.dqyxx.2024-064
探地雷达正演数值模拟方法研究进展
A review of forward numerical simulation methods for ground penetrating radar
摘要
Abstract
The ground penetrating radar(GPR),as a geophysical exploration technique for detecting the distri-bution of subsurface media based on ultra-high frequency electromagnetic waves,has the advantages of fast detec-tion speed and high resolution,and plays a crucial role in many important fields.Forward numerical simulation oc-cupies a central position in the theoretical research and practical application of ground penetrating radar.It is not only the key to improving the application effectiveness of ground penetrating radar technology,but also an impor-tant foundation for the implementation of migration and inversion research,providing powerful support for compre-hensive understanding of the propagation mechanism of high-frequency electromagnetic waves and interpreting the complexity of subsurface structures.Firstly,this paper conducts a comprehensive and detailed review of the three main numerical simulation techniques for wave equations,namely,the finite difference time domain method(FDTD),the finite element time domain method(FETD),and the pseudo spectral time domain method(PSTD),in the field of forward numerical simulation of ground penetrating radar.We analyze the advantages and limitations of each of the three methods,and outline the latest technological progress they have achieved in improving the accur-acy of numerical simulation and computational efficiency,thus clearly outlining the development context and cur-rent situation of these three techniques.Secondly,we analyze and predict the future trends and potential research fields of ground penetrating radar numerical simulation,and provide useful guidance for the further development.关键词
探地雷达/数值模拟/浅表地球物理/数值方法Key words
ground penetrating radar/numerical simulation/shallow geophysics/numerical methods分类
地质学引用本文复制引用
李柽桢,宋汉杰,刘少林..探地雷达正演数值模拟方法研究进展[J].地球与行星物理论评（中英文）,2025,56(5):496-513,18.基金项目
国家自然科学基金资助项目(42174111,U23A2029)Supported by the National Natural Science Foundation of China(Grant Nos.42174111,U23A2029) （42174111,U23A2029）
