Signal-to-noise Ratio Enhancement in Multichannel GPR Data via the Karhunen-Lo′eve Transform
Ground penetrating radar (GPR) has been widely used in civil engineering,landmine detection and identifi-cation,unexploded ordnance,environmental engineering, and so forth. But GPR signals from shallowly buried objects tend to be obscured by the return from the air-soil interface. So how to get rid of the disturbing effect of this background signal has been always a troublesome problem in practical engineering. Based on the study to the characteristic of real-world GPR data,we find that the background has much strong correlations from trace to trace. So we propose to use KLT to process GPR signal. Simulative and practical experimental data examples are included to demonstrate the effectiveness of the method. Results indicate that KLT technique can really eliminate the strong GPR background mostly. The signal-to-noise ratio of the data processed by KLT technique can be enhanced greatly.
Anxing Zhao Yansheng Jiang Wenbing Wang
Xian Jiaotong University,China
国际会议
Progress in Electromagnetics Research Symposium 2005(2005年电磁学研究新进展学术研讨会)(PIERS 2005)
杭州
英文
754-757
2005-08-22（万方平台首次上网日期，不代表论文的发表时间）