DocumentCode :
2292575
Title :
A Novel KICA Method for Ground Bounce Removal with GPR
Author :
Gao, Qian ; Li, Tang ; Wu, Renbiao
Author_Institution :
Tianjin Key Lab. for Adv. Signal Process., Civil Aviation Univ. of China, Tianjin
fYear :
2006
fDate :
16-19 Oct. 2006
Firstpage :
1
Lastpage :
4
Abstract :
Nowadays ultra wideband ground penetrating radar (GPR) is widely used in landmine detection. For shallowly buried plastic landmines, the ground bounce is usually much stronger than the weak return from landmines and their arrival time is very close with each other, so ground bounce removal is very important for the following detection, imaging and target recognition. In this paper, kernel independent component analysis (KICA) is first introduced to ground bounce removal with GPR. A novel scheme is proposed for the automatic independent component (IC) selection, which is vital for any ICA based ground bounce removal algorithms. Experimental results based on field-test data show that the proposed method has good performance
Keywords :
ground penetrating radar; independent component analysis; radar signal processing; GPR; KICA method; ground bounce removal algorithm; ground penetrating radar; kernel independent component analysis; Entropy; Equations; Ground penetrating radar; Independent component analysis; Kernel; Landmine detection; Plastics; Principal component analysis; Signal processing algorithms; Target recognition; entropy; ground bounce removal; ground penetrating radar; kernel independent component analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar, 2006. CIE '06. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9582-4
Electronic_ISBN :
0-7803-9583-2
Type :
conf
DOI :
10.1109/ICR.2006.343273
Filename :
4148379
Link To Document :
بازگشت