DocumentCode
2940705
Title
Study on Signal Processing of FMCW Ground Penetrating Radar
Author
Liang, Huaqing ; He, Zhiqiang
Author_Institution
Dept. of Electron. & Inf. Eng., China Univ. of Pet., Beijing, China
Volume
1
fYear
2009
fDate
11-12 April 2009
Firstpage
528
Lastpage
531
Abstract
In this paper, a frequency-modulated-continuous-wave (FMCW) ground penetrating radar (GPR) is developed and used to measure the thickness of concrete/asphalt layers of highways/airports. If the thickness of the layer is thin, measurement may be impossible using traditional DFT method since the frequencies of reflected waves are very close and the week waves reflected from underground layers will be ldquosubmergedrdquo by the strong one reflected from the pavement surface. An adaptive filtering method is presented to eliminate the strong wave reflected from the pavement surface and thus the week waves reflected from the underground layer surfaces can be detected. Then the modified frequency estimation method is proposed to enhance the frequency estimation precision of FMCW GPR signal. Simulation experiment results have demonstrated the effectiveness of the proposed method.
Keywords
CW radar; FM radar; adaptive filters; discrete Fourier transforms; filtering theory; frequency estimation; ground penetrating radar; radar signal processing; DFT method; FMCW ground penetrating radar; adaptive filtering method; frequency estimation; frequency-modulated-continuous-wave radar; signal processing; Airports; Asphalt; Concrete; Frequency estimation; Frequency measurement; Ground penetrating radar; Radar signal processing; Road transportation; Surface waves; Thickness measurement; adaptive filtering; ground penetrating radar; modified frequency estimation; thickness measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location
Zhangjiajie, Hunan
Print_ISBN
978-0-7695-3583-8
Type
conf
DOI
10.1109/ICMTMA.2009.285
Filename
5203027
Link To Document