基于猎人猎物优化的探地雷达层状介质参数反演算法  

Inversion algorithm for parameters of layered media with ground penetrating radar based on improved hunter-prey optimization algorithm

作  者:王婷婷 李一兵[1,2] 叶方 WANG Tingting;LI Yibing;YE Fang(College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China;Key Laboratory of Advanced Ship Communication and Information Technology,Ministry of Industry and Information Technology,Harbin 150001,China)

机构地区:[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001 [2]先进船舶通信与信息技术工业和信息化部重点实验室,黑龙江哈尔滨150001

出  处:《应用科技》2025年第1期173-180,220,共9页Applied Science and Technology

基  金:黑龙江省头雁计划项目.

摘  要:在使用探地雷达对道路进行探测时,薄层介质的存在使探测受到探地雷达垂直分辨率的限制,导致反射信号重叠;提取起伏介质双程走时的过程中容易偏离真实值,进而影响探测结果。为了解决这些问题,本文提出了一种基于改进猎人猎物算法的层状介质反演算法。该算法首先利用正交匹配追踪算法提取各层的双程走时并确定层状介质的参数取值范围,然后对较深层界面反射信号进行振幅补偿,最后通过改进猎人猎物优化算法精确反演。仿真结果表明,该算法在薄层介质和起伏介质存在时能提高参数反演的准确性。When using ground penetrating radar(GPR)to detect roads,the presence of thin-layered media limits the detection due to vertical resolution of GPR,resulting in overlapping reflection signals.And in the process of extracting the two-way travel time of undulating media,it easily deviates from the true value,which affects the detection results.To address these issues,an inversion method for layered media based on improved hunter-prey optimization algorithm is proposed.The orthogonal matching pursuit algorithm is adopted to extract the two-way travel time of each layer and determine the parameter range of the layered media.Then,the amplitude of the reflected signal at the deeper interface is compensated.Finally,the improved hunter-prey optimization algorithm is applied for precise inversion.Simulation results show that the proposed method can improve the accuracy of parameter inversion in the presence of thin-layered media and undulating media.

关 键 词:探地雷达 层状介质 参数反演 猎人猎物算法 正交匹配追踪 振幅补偿 薄层介质 起伏介质 

分 类 号:TN959.71[电子电信—信号与信息处理]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象