Title :
Data analysis technique to leverage ground penetrating radar ballast inspection performance
Author :
Yu Zhang ; Venkatachalam, Anbu Selvam ; Tian Xia ; Yuanchang Xie ; Guoan Wang
Author_Institution :
Sch. of Eng., Univ. of Vermont, Burlington, VT, USA
Abstract :
Fouled ballast is a typical problem faced by many freight and passenger rail agencies. Due to the underground nature of this problem, we have developed a high-speed air coupled ultra wideband (UWB) ground penetrating radar (GPR) that is applicable for ballast inspection. Implemented with the GPR hardware, new GPR signal processing algorithms including Bicubic interpolation, gain compensation, and reflection signal envelope extraction in conjunction with background removal are developed to remove noise and interference while preserve and enhance the subsurface features under inspection. The entire system is tested extensively on a customer-built structure emulating a segment of railroad track. The results show that the system can effectively detect subsurface objects and characterize ballast fouling conditions.
Keywords :
data analysis; ground penetrating radar; interpolation; radar signal processing; ultra wideband radar; Bicubic interpolation; ballast inspection; data analysis; freight agencies; high-speed air coupled ultra wideband ground penetrating radar; passenger rail agencies; railroad track; reflection signal envelope extraction; signal processing algorithms; underground nature; Electronic ballasts; Ground penetrating radar; Image resolution; Inspection; Interpolation; Reflection; Scattering; Ballast inspection; Ground penetrating radar; Hilbert transform; Scattering analysis;
Conference_Titel :
Radar Conference, 2014 IEEE
Conference_Location :
Cincinnati, OH
Print_ISBN :
978-1-4799-2034-1
DOI :
10.1109/RADAR.2014.6875636