超宽带穿透矿井塌方体的逆散射成像算法

An inverse scattering imaging algorithm for UWB penetration in mine collapse body

超宽带信号经发射天线穿透塌方体,对井下目标进行成像。信号遇到不同组分的介质后发生反射效应,回波信号中掺杂了各种散射的杂波信号,导致无法准确成像。为了获取塌方体后目标物的电磁特性参数,提出了一种基于Born近似的逆散射成像算法。在该算法下,井下成像区域的塌方体介质电磁特性情况可以通过对目标物外部的电磁场进行反演获得,再将获取的电磁场参数进行Born近似化处理,从而推断出井下目标物的位置和形状等信息。仿真实验表明:在塌方体背景介质电导率极小时,该算法可以对目标物相关信息进行较为准确的重建;当塌方体介质电导率较大时,可以判断目标存在性问题。

This paper proposes an inverse scattering imaging algorithm building on Born approximation with the objective of addressing the failure of accurate image production-an impossibility resulting from various scattering wave signals occurring in the echo signals due to the reflection effect produced by the medium of different compositions,which occurs when UWB signals transmitted by the antenna penetrate collapse body to produce the image of the underground targets. This algorithm designed for identifying the electromagnetic characteristics of the targets lying behind the collapse body works by obtaining the electromagnetic characteristics of landslide medium in underground imaging areas by retrieving the electromagnetic field outside the targets; performing Born approximation of the obtained electromagnetic parameters; and thereby inferring the location and shape of the underground targets. The simulation demonstrates that the algorithm owes its feasibility to its ability to provide a more accurate reconstruction of the position and shape of the scattering target objects in response to the very small conductivity of the body; and to judge the existence of the weak scattering target object in response to the greater conductivity of the collapsing medium.