CAJ | 학술논문

目标检测与定位是探地雷达的一个重要问题.目前,多数检测与定位方法都是通过判断探地雷达信号中的双曲线特征实现的.在检测目标大致区域的基础上,要实现目标定位,无论是合成孔径算法还是叠加一幅度波速法,都存在计算量大的问题.现有的统计量方法还需依赖霍夫变换方法检测出双曲线,算法也较复杂.根据探测背景介质结构相似及在探测方向上利用整个A-scan进行统计量计算干扰较大的特点,提出了一种探地雷达目标快速定位方法.首先以能量和方差为统计量,在深度方向上判断出目标区域的时间窗口,而后在探测方向对A-scan加窗,只选择该窗口下的部分A-scan数据,以能量为统计量确定目标的位置.由于仅采用方差、能量两个统计量进行计算,算法实现比较简单,并且采用时间加窗方法去除了回波数据上大部分与目标无关数据的干扰,对目标的定位准确度较高.实测数据表明,该方法适用于探地雷达目标检测中对目标的快速准确定位.
목표검측여정위시탐지뢰체적일개중요문제.목전,다수검측여정위방법도시통과판단탐지뢰체신호중적쌍곡선특정실현적.재검측목표대치구역적기출상,요실현목표정위,무론시합성공경산법환시첩가일폭도파속법,도존재계산량대적문제.현유적통계량방법환수의뢰곽부변환방법검측출쌍곡선,산법야교복잡.근거탐측배경개질결구상사급재탐측방향상이용정개A-scan진행통계량계산간우교대적특점,제출료일충탐지뢰체목표쾌속정위방법.수선이능량화방차위통계량,재심도방향상판단출목표구역적시간창구,이후재탐측방향대A-scan가창,지선택해창구하적부분A-scan수거,이능량위통계량학정목표적위치.유우부채용방차、능량량개통계량진행계산,산법실현비교간단,병차채용시간가창방법거제료회파수거상대부분여목표무관수거적간우,대목표적정위준학도교고.실측수거표명,해방법괄용우탐지뢰체목표검측중대목표적쾌속준학정위.
Target detection and location is important in the application of the ground penetrating radar.Target location is based on the result of the detection,which in turn depends on the hyperbolas of the ground penetration radar.Many algorithms for this purpose involve a large amout of computational effort,such as SAR and overlay amplitude-velocity algorithm.They include an algorithm on window statistics to consider noises and non-targets data.At the same time,Hough transform algorithm has also to be used.Based on the similarity of time samples of ground penetrating radar and the fact that the possible target lies in some area,an algorithm is proposed in this paper for ground penetrating radar target detection and location.First,the algorithm considers energy and variance as statistics features of one-dimensional data in depth,to determine the probable depth of target signals by the right threshold.Then the energy variant is used as the statistics feature of an A-scan in the above special depth window by the threshold.Finally,the target location is determined.Because it only uses a part of A-scan data without considering the non-targets data,the location is more accurately determined than the algorithm that uses the whole A-scan data.Moreover,the algorithm is more effective than above mentioned other algorithms.The result of the test shows that the algorithm is very effective in the fast target detection and location.