Research On Data Processing Arithmetic Of The Multi-Frequency Pulse Ground Penetrating Radar

As an nondestructive geophysical technology, Ground Penetrating Radar(GPR) has many advantages, such as high efficiency, high precision, easy to use and so on. For these reasons, GPR is widely used in Mars Exploration Program, etc. The maximal detection depth and detection resolution are two important performance indicators of impulse GPR, they are both affected by the center-frequence of radar antenna and mutual restrictive. Most commercial GPR are equipted with only one kind of antenna, resulting in hard to meet different application requirements of detection depth and detection resolution. In oreder to resolve this problem, our team designed a new Multi-Frequency Pulse Ground Penetrating Radar(MFPGPR) system that can provide three different maximum detection depths. This peper is focusing on data processing rearch of the MFGPR, the main content can be summarized as follows:(1) Base on the analysis of conventional GPR’s disadvantages, a new type of ground penetrating radar, which named MFGPR, is introduced, with particular emphasis concentrated on the radar’s performance indicators, data format and image characteristics.(2) According to the noise sources and signal features of MFGPR data, some indicators are provided to evaluate denoising abilty of denoising method. Based on these indicators, we studied the denoising ability of some methods. In order to avoid the “energy migration” phenomenon of the Background Matrix Subtraction method, a new method is introduced and the simulation results are given.(3) Two different kinds of Stolt migration methods, which are based on interpolation and Nonuniform Fast Fourier transform(NUFFT), are studied to reconstruct the imaging of point targets.Based on the theoretical research, a MFGPR data processing software is developed, relevant tests are conducted and the results show its application value.