Ground Penetrating Radar Signal Processing

This article presents an open-source MATLAB-based signal processing toolkit for Ground Penetrating Radar (GPR) data, designed to enhance the understanding and processing of radargram data. The implementation includes key algorithms such as spectral analysis using FFT transformations, mean filtering for noise reduction, DC component removal through baseline correction, FK filtering for wavefield separation, KL filtering for signal enhancement, FK migration for image reconstruction, time-depth conversion with velocity calibration, and velocity model analysis for subsurface characterization. These algorithms enable researchers to perform detailed investigations of GPR technology and apply them to practical scenarios. For instance, the toolkit can be utilized to analyze groundwater levels, settlement conditions, and geological structures beneath buildings or bridges. The modular code structure allows users to implement custom processing chains through function combinations like [radargramDisplay(), spectralAnalysis(), fkMigration()]. This open-source package serves as a vital resource in the GPR field, providing researchers and practitioners with robust algorithmic implementations for subsurface imaging applications.