摘要
利用探地雷达实现浅地表目标的探测是一项较为复杂的工作,由于杂波的不稳定性和目标成像的不一致性,对探测人员的操作规范和读图能力提出了较高的要求。本文基于超宽带脉冲体制平台,在线性预测的基础上研究了一种新的探测方法,在一定程度上克服背景杂波的影响,给出简单易懂的探测结果,降低了对探测人员的操作要求。实验证明,在简单和复杂的背景中,该算法都能够准确地检测到预先埋设的目标,给出可靠的探测结果。
Shallow subsurface object detection using ground penetrating radar is a complex task. Because the background clutter characteristics are nonstationary and the target signatures are inconsistent, it requires the operator should have certain skills in operating the unit and image recognition. This paper propose a new method for shallow subsurface object detection which is based the linear prediction using UWB-GPR, It can mitigate the negative influence of background clutters to the detetion results, give survey result in limpid style, and moderate requirements to operator. The experimental results shows the method can works effectively either target is buried in pure circumstance or the background with complicate components.
出处
《电子测量技术》
2009年第9期38-41,共4页
Electronic Measurement Technology
关键词
线性预测
奇异值分解
探地雷达(GPR)
linear prediction
singular value decomposition
ground penetrating radar