DocumentCode :
3133079
Title :
Application study on the least square deconvolution in GPR signal processing
Author :
Gang, Shi ; Yang-Jun, Tian ; Hua, Yang Xiao
Author_Institution :
Sch. of Sci., Chang´´an Univ., Xi´´an, China
Volume :
2
fYear :
2011
fDate :
20-21 Aug. 2011
Firstpage :
398
Lastpage :
401
Abstract :
Having the advantages such as non-destructivity and high precision, the ground penetrating radar (GPR) has been widely used in the quality control of highway engineering. But the post processing of the GPR signal still needs to be further studied. In this paper, the author applies the least square deconvolution to ground penetrating radar signal post-processing, presents its relevant theory and method, and gives specific implementation steps of the whole process. The actual testing effect of a highway pavement indicates that the corresponding anomalies in the radar image is in position, the boundaries and dividing lines become very clear, and the effect is obviously improved. The method provides an easier way to define the highway pavement thickness of each layer accurately.
Keywords :
deconvolution; ground penetrating radar; least squares approximations; radar imaging; GPR signal processing; ground penetrating radar; highway engineering; least square deconvolution; quality control; radar imaging; Equations; Ground penetrating radar; Mathematical model; Radar imaging; Roads; deconvolution; ground penetrating radar (GPR); highway engineering; quality detection; the least square;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Control and Industrial Engineering (CCIE), 2011 IEEE 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9599-3
Type :
conf
DOI :
10.1109/CCIENG.2011.6008148
Filename :
6008148
Link To Document :
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