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