Pavement thickness measurement using FM-CW radar

被引:0
|
作者
Liu, CR [1 ]
Li, J [1 ]
Gan, XH [1 ]
Xing, HC [1 ]
Chen, XM [1 ]
机构
[1] Univ Houston, Lab Subsurface Sensing, Houston, TX 77204 USA
关键词
FM-CW radar; ground penetrating radar; thickness and permittivity measurement; asphalt pavement; signal extraction;
D O I
10.1117/12.450157
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Many theoretical studies have been reported on applications of ground penetrating radar (GPR) system to detect the permittivity and thickness of subsurface layers. However, to develop a GPR system that can accurately measure the thickness and the permittivity simultaneously is not a straightforward task. The main difficulty of quantitative thickness measurement is that the reflected wave from the subsurface interface is very weak compared to the directly coupled waves. The reflected signal may be completely submerged into the strong direct waves. Secondly, the inversion computation from measured data is very noise sensitive. In this paper, we present the development of a frequency-modulated-continuous-wave (FMCW) radar for quantitative layer thickness measurement. A new mathematical model for the calculation of depth and permittivity from the measured electromagnetic data is presented. The new model is based on the time delay between the direct wave and the reflected wave recorded by a bistatic radar. The data inversion algorithm considers the influences from air-ground interface. It is found that neglecting the air layer effects as the case applied in seismic analysis, the inversion will not be correct. This is because the electromagnetic rays from the GPR take different propagation path from straight or curved ray in seismic-like analysis. Ray path searching must be included in the calculation algorithm. With the consideration of wave path, the experimental results agree well with the actual values either in field test or in laboratory test.
引用
收藏
页码:159 / 166
页数:8
相关论文
共 50 条
  • [31] Correlation algorithm for high-precision measurement in FM-CW radar level meters
    Kim, JM
    Lim, ZS
    Chun, JC
    Kim, TS
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2001, E84B (08) : 2326 - 2329
  • [32] Reflection profiling of arctic lake ice using microwave FM-CW radar
    Arcone, SA
    Yankielun, NE
    Chacho, EF
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1997, 35 (02): : 436 - 443
  • [33] On Doppler Ambiguity Estimation for Millimeter FM-CW Radar by Using MUSIC Algorithm
    Horiuchi, Takahiro
    Yamada, Hiroyoshi
    Yamaguchi, Yoshio
    Hiramoto, Michiyo
    2018 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), 2018,
  • [34] A FM-CW radar proximity sensor for use in mechatronic products
    Jackson, MR
    Parkin, RM
    Tao, B
    MECHATRONICS, 2001, 11 (02) : 119 - 130
  • [35] PARAMETERS SELECTION OF FBLMS ALGORITHM FOR NOISE FM-CW RADAR
    Zhang, Yuping
    Gao, Meiguo
    Liu, Jiabin
    Li, Yunjie
    2014 12TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP), 2014, : 215 - 220
  • [36] An equivalent sensitivity time control circuit for FM-CW radar
    Kasahara, H
    Moriyama, T
    Yamaguchi, Y
    Yamada, H
    ELECTRONICS AND COMMUNICATIONS IN JAPAN PART I-COMMUNICATIONS, 1997, 80 (06): : 1 - 7
  • [37] VCO nonlinearity correction scheme for a wideband FM-CW radar
    Park, YG
    Kim, B
    Kim, YS
    MICROWAVE AND OPTICAL TECHNOLOGY LETTERS, 2000, 25 (04) : 266 - 269
  • [38] Development of Phase Inverter for Performance Improvement of FM-CW Radar
    Wahab, M.
    Saputera, Y. P.
    Wahyu, Y.
    TENCON 2015 - 2015 IEEE REGION 10 CONFERENCE, 2015,
  • [39] Ground surface sensing through plant foliage using an FM-CW radar
    Noyman, Y
    Shmulevich, I
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 1996, 15 (03) : 181 - 193
  • [40] FM-CW LASER-RADAR INCORPORATING AN ACOUSTOOPTIC MODULATOR
    POWERS, JP
    CHANCE, TC
    FRAUNFELDER, MF
    IEEE TRANSACTIONS ON SONICS AND ULTRASONICS, 1977, 24 (02): : 144 - 144