Research On Ground Penetrating Radar Signal Extraction Method Based On Improved Offset And Other Algorithms

Ground penetrating radar(GPR)detection technology has become the most commonly used method in underground exploration projects,and has been widely used in many fields due to its fast detection speed,ultra-high detection accuracy and no damage to the ground.By transmitting high-frequency electromagnetic pulses to the detection area,ground penetrating radar will emit reflections when the electromagnetic waves encounter different media during propagation,record their reflected echoes through the receiving antenna and further analyze and process the reflected signals,so as to realize the detection of the underground medium structure of the detection area.This paper mainly studies the signal processing methods of ground penetrating radar(GPR)using forward simulation technology,taking underground target signals as the research object.This provides a theoretical basis for the processing of ground penetrating radar signals.Firstly,the research on the signal processing methods of ground penetrating radar needs sufficient data support.To this end,the forward simulation software GprMax for ground penetrating radar is developed through the finite difference time domain method combined with the relevant theories of electromagnetism.Using GprMax to set different parameters,different underground media structure models are established,and the established models are forward simulated to obtain different original ground penetrating radar data,The results of forward simulation can provide theoretical reference for the measured data of ground penetrating radar.In addition,the results of forward simulation also provide robust data for verifying the clutter suppression method of ground penetrating radar.Secondly,there are clutter and noise interference in the original data of the ground penetrating radar.Due to the presence of clutter,the target signal is often covered and buried,making the target signal difficult to detect.Therefore,a ground penetrating radar denoising algorithm based on improved robust principal component analysis and image enhancement is proposed.By improving the robust principal component analysis method,the direct wave in the original signal of GPR is suppressed,and the histogram equalization of the separated target signal is carried out,so as to remove background noise and highlight the target signal,and realize the clutter suppression and background noise removal of the original data of GPR.Finally,due to the loss problem of electromagnetic wave propagation in the medium,refraction and scattering will occur.Although the clutter suppression method can suppress the surface direct wave and background noise,the scattering problem of the target signal echo is still not solved.In this regard,a Stolt migration method based on least square fitting is proposed.First,the clutter is suppressed by improved robust principal component analysis,and then the target signal hyperbola is obtained by least square fitting,and the migration velocity is obtained.Combining the migration velocity,the Stolt migration algorithm is used to focus the target signal echo,and get the final imaging result.Through forward simulation experiments and processing of measured data,the feasibility and effectiveness of the algorithm are verified,and the clarity and positioning accuracy of the target signal are improved.