基于ESPRIT算法的阵列天线定向钻孔雷达数据处理方法  

Data Processing Method of Array Antenna Directional Borehole Radar Based on ESPRIT Algorithm

作　　者：钱志远 张凤凯[1] 李尧[1] QIAN Zhi-yuan;ZHANG Feng-kai;LI Yao(Research Center of Geotechnical and Structure Engineering,Shandong University,Jinan 250061,China)

机构地区：[1]山东大学岩土与结构工程研究中心,济南250061

出　　处：《科学技术与工程》2023年第16期6810-6816,共7页Science Technology and Engineering

基　　金：国家自然科学基金(52109130,51909144)。

摘　　要：定向钻孔雷达是一种应用于井孔的新型探地雷达,具有识别孔周目标体方位角的能力,可实现孔周异常体的三维精细探测。四联阵列接收雷达是一种定向雷达形式,其利用4根相距较近的接收天线接收到的微弱信号差异判断入射波方位,进而推断异常体反射界面位置。在前人研究的基础上,提出一种适用于四联阵列接收天线的新型数据处理方法,该方法以基于旋转不变子空间的谱估计(estimation spectrum rational invariance technique,ESPRIT)算法为基础,能够快速准确地处理分析阵列接收天线数据,判断异常体方位角,解决四联阵列接收天线应用的重点和难点问题。与已有的方位角识别算法相比,所提出的新型数据处理方法不存在180°方位混淆的问题,并且在计算速度上具有明显的优势。基于GprMax合成数据检验了本文方法的可行性。Directional borehole radar is a new type of ground penetrating radar applied to boreholes,which has the ability to identify the azimuth of target bodies around boreholes,and can realize three-dimensional fine detection of abnormal bodies.Quadruple array receiving radar is a form of directional radar,which uses the weak difference of signals received by four closely spaced receiving antennas to judge the direction of incident wave,and then infers the position of abnormal body􀆳s reflection interface.On the basis of previous studies,a new data processing method was proposed for quadruple array receiving radar.This method was based on estimation spectrum rational invariance technique(ESPRIT)algorithm,which can quickly and accurately process and analyze array receiving antenna data,judge the azimuth of abnormal bodies,and therefore solve the key and difficult problem in the application of the quadruple array receiving radar.Compared with existing azimuth recognition algorithms,the proposed new data processing method does not have the problem of 180°azimuth confusion,and has obvious advantages in computing speed.Based on GprMax synthetic data,the feasibility of the proposed method was verified.

关 键 词：探地雷达 定向钻孔雷达 基于旋转不变子空间的谱估计(ESPRIT)算法 方位确定 

分 类 号：P631[天文地球—地质矿产勘探] U457[天文地球—地质学]