GPR Data Analysis of Weak Signals Using Modified S-Transform

GPR often encounters difficulty in visualizing the buried target when signals are weak and enveloped by noise, despite using the best of existing GPR data analysis tools. In this study, new method has been proposed based on modified S-transform to analyze weak signals of GPR data. The time–frequency analysis has been implemented to capture the change in electromagnetic waves reflected at the boundary of dielectric contrast. A series of experimental tests were conducted at different site conditions and with different materials using GSSI SIR 3000 GPR system with 400 MHz antenna. An improved 2-D vertical subsurface profile has been developed using time–frequency information to locate the target spatially as well as temporally. The new method has provided better results to improve the target visualization in case of noisy signals. However, it did not add any significant where conventional processing could do reasonable. The proposed method is convenient to use and capable of processing large number of scans effectively.

[1]  B. Macq,et al.  Time-frequency domain signature analysis of GPR data for landmine identification , 2007, 2007 4th International Workshop on, Advanced Ground Penetrating Radar.

[2]  Li Jian-xun Signal filtering based on wavelet transform and its application in ground penetrating radar , 2006 .

[3]  Yuhao Wang,et al.  Time Frequency Representations for Classification of Landmine Using UWB Impulse GPR , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[4]  Seong-Jun Cho,et al.  Removal of ringing noise in GPR data by signal processing , 2007 .

[5]  B. Vassileva,et al.  Singular spectrum analysis — an effective method for GPR data processing , 2008, 2008 International Radar Symposium.

[6]  J. Kong Electromagnetic Wave Theory , 1986 .

[7]  Ganapati Panda,et al.  An Improved S-Transform for Time-Frequency Analysis , 2009, 2009 IEEE International Advance Computing Conference.

[8]  Richard Frayne,et al.  A fast discrete S-transform for biomedical signal processing , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  Nithin V. George S Transform: Time Frequency Analysis & Filtering , 2009 .

[10]  Lalu Mansinha,et al.  Localization of the complex spectrum: the S transform , 1996, IEEE Trans. Signal Process..

[11]  René E. Chávez,et al.  Application of the Wigner-Ville distribution to interpret ground-penetrating radar anomalies , 2012, Geofísica Internacional.

[12]  Mao Tian,et al.  Time-frequency representations for classification of ground penetrating radar echo signal , 2005, 2005 International Symposium on Intelligent Signal Processing and Communication Systems.

[13]  Evert C. Slob,et al.  Filtering Soil Surface and Antenna Effects From GPR Data to Enhance Landmine Detection , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Braham Barkat,et al.  Application of time-frequency techniques for the detection of anti-personnel landmines , 2000, Proceedings of the Tenth IEEE Workshop on Statistical Signal and Array Processing (Cat. No.00TH8496).

[15]  Motoyuki Sato,et al.  Investigation of Time–Frequency Features for GPR Landmine Discrimination , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[16]  Lin Mingxing,et al.  A new ground penetrating radar signal analysis method based on S transform , 2010, 2010 The 2nd Conference on Environmental Science and Information Application Technology.

[17]  D. W. Hainsworth,et al.  Application of ground penetrating radar for coal thickness measurement , 1997, TENCON '97 Brisbane - Australia. Proceedings of IEEE TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications (Cat. No.97CH36162).

[18]  Harry M. Jol,et al.  Ground Penetrating Radar (GPR) Data Enhancement Using Seismic Techniques , 1996 .

[19]  Ganapati Panda,et al.  Identification of Glacial Isostatic Adjustment in Eastern Canada Using S Transform Filtering of GPS Observations , 2011, Pure and Applied Geophysics.

[20]  Imad L. Al-Qadi,et al.  Data Analysis Techniques for GPR Used for Assessing Railroad Ballast in High Radio-Frequency Environment , 2010 .

[21]  L. van Kempen,et al.  Signal processing techniques for clutter parameters estimation and clutter removal in GPR data for landmine detection , 2001, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563).

[22]  Fabio Tosti,et al.  GPR spectral analysis for clay content evaluation by the frequency shift method , 2013 .

[23]  Joseph N. Wilson,et al.  Improving landmine detection using frequency domain features from ground penetrating radar , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[24]  A. Adepelumi,et al.  Geophysical Mapping of Subsurface Stratigraphy Beneath A River Bed Using Ground Penetrating Radar: Lagos Nigeria Case Study , 2013 .

[25]  G. Panda,et al.  Power Quality Analysis Using S-Transform , 2002, IEEE Power Engineering Review.

[26]  Wen-chao Chen,et al.  GPR data noise attenuation on the curvelet transform , 2014, Applied Geophysics.

[27]  Hongmei Zhu,et al.  The generalization of discrete Stockwell transforms , 2011, 2011 19th European Signal Processing Conference.

[28]  L. Conyers,et al.  Ground-penetrating Radar Techniques and Three-dimensional Computer Mapping in the American Southwest , 1998 .