he adaptive chirplet transform and its application in GPR target detection

作     者：Zeng Zhaofa Wu Fengshou Huang Ling Liu Fengshan Sun Jiguang 

作者机构：Collage of Exploration Science and Technology Jilin University Changchun 130026 China Applied Mathematic Research Center Delaware State University Dover DE 19901 USA 

出 版 物：《Applied Geophysics》 (应用地球物理（英文版）)

年 卷 期：2009年第6卷第2期

页      面：192-200页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0810[工学-信息与通信工程] 0707[理学-海洋科学] 0708[理学-地球物理学] 081105[工学-导航、制导与控制] 080203[工学-机械设计及理论] 081001[工学-通信与信息系统] 0802[工学-机械工程] 0825[工学-航空宇航科学与技术] 0704[理学-天文学] 081002[工学-信号与信息处理] 0811[工学-控制科学与工程] 

基　　金：This work was supported by U.S. Department of Defense Science Research Fund (Grant No. DAAD 19-03-1-0375) and the National Natural Science Foundation of China (Grant No. 40774055) 

主　　题：GPR target detection clutter rejection chirplet transform 

摘      要：GPR has become an important geophysical method in UXO and landmine detection, for it can detect both metal and non-metallic targets. However, it is difficult to remove the strong clutters from surface-layer reflection and soil due to the low signal to noise ratio of GPR data. In this paper, we use the adaptive chirplet transform to reject these clutters based on their character and then pick up the signal from the UXO by the transform based on the Radon-Wigner distribution. The results from the processing show that the clutter can be rejected effectively and the target response can be measured with high SNR.