利用结构稀疏性的超宽带探地雷达检测成像算法
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摘要
针对目前压缩感知(compressive sensing,CS)算法应用在超宽带探地雷达(ground penetrating radar,GPR)高分辨率检测成像过程中,传统稀疏字典的设计以及匹配追踪算法存在精确度不足的问题,提出块稀疏正交匹配追踪(block sparse orthogonal matching pursuit,BSOMP)算法,并引入地埋异质体检测成像研究。根据目标检测体在离散化后网格点之间反射回波具有相关性,以实际情况为基础创建稀疏字典,最终实验结果表明BSOMP能够实现对均匀介质探测体的精确成像。
In order to solve the problem of inaccuracy of traditional sparse dictionary design and matching pursuit algorithm in Compressive Sensing,block sparse orthogonal matching pursuit( BSOMP) was applied in high resolution detection and imaging of UWB ground penetrating radar( GPR),and in the detection and imaging of buried heterogeneous objects. According to the correlation of reflected echoes between the discretized mesh points,a sparse dictionary was created based on the actual situation. The final experimental results showed that the algorithm can achieve accurate imaging of the homogeneous medium detection object.
In order to solve the problem of inaccuracy of traditional sparse dictionary design and matching pursuit algorithm in Compressive Sensing,block sparse orthogonal matching pursuit( BSOMP) was applied in high resolution detection and imaging of UWB ground penetrating radar( GPR),and in the detection and imaging of buried heterogeneous objects. According to the correlation of reflected echoes between the discretized mesh points,a sparse dictionary was created based on the actual situation. The final experimental results showed that the algorithm can achieve accurate imaging of the homogeneous medium detection object.
引文
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[3]贺亚鹏,庄珊娜,张劲东,等.基于压缩感知的伪随机多相码连续波雷达[J].电子与信息学报,2011,33(2):418-423.
[4]方红,章权兵,韦穗.基于非常稀疏随机投影的图像重建方法[J].计算机工程与应用,2007,43(22):25-27.
[5]李寰驰,袁伟明,张锐.基于压缩感知的雷达目标辨识[J].电子测量技术,2017,40(11):161-165.
[6]朱晓秀,胡文华,郭宝锋.基于压缩感知理论的稀疏孔径ISAR成像[J].现代雷达,2018,40(11):18-22.
[7]郭士礼,朱培民,施兴化,等.裂缝宽度对探地雷达波场影响的对比分析[J].电波科学学报,2013,28(1):130-136.
[2]汪瑞,欧阳缮,周丽军.超宽带探地雷达多目标压缩感知成像研究[J].微波学报,2017,33(5):50-54.
[3]贺亚鹏,庄珊娜,张劲东,等.基于压缩感知的伪随机多相码连续波雷达[J].电子与信息学报,2011,33(2):418-423.
[4]方红,章权兵,韦穗.基于非常稀疏随机投影的图像重建方法[J].计算机工程与应用,2007,43(22):25-27.
[5]李寰驰,袁伟明,张锐.基于压缩感知的雷达目标辨识[J].电子测量技术,2017,40(11):161-165.
[6]朱晓秀,胡文华,郭宝锋.基于压缩感知理论的稀疏孔径ISAR成像[J].现代雷达,2018,40(11):18-22.
[7]郭士礼,朱培民,施兴化,等.裂缝宽度对探地雷达波场影响的对比分析[J].电波科学学报,2013,28(1):130-136.