Super Resolution Signal Processing Algorithm for Ground Penetrating Radar
نویسندگان
چکیده
Ground Penetrating Radar (GPR) has been approved as very successful sensing device for various kinds of investigations & detection of buried targets like pipe, (Water, Gas, Electric) cable, archaeological objects, voids, unexploded ordinances (UXO) etc. Such GPR using electromagnetic pulse is required to reduce pulse-width for high resolution and increase transmitting power for signal enhancement because the signal received from the radar is normally very weak and indescribable. Improvement of resolution is the challenging issue in GPR and that is greatly desired to increase for clear imaging of very closely buried targets. In this paper, super resolution technique MUSIC (Multiple Signal Classification) algorithm has been implemented because of its superior results. Moreover, the conventional FFT (Fast Fourier Transform) has been utilized to get higher precision receiving signal level. Combined Processing Method (CPM) of time domain response of MUSIC and IFFT (Inverse FFT) has been proposed to get high resolution and high precision receiving signal level. Simulation and experiment have been performed to support the proposal.
منابع مشابه
Signal Processing of Ground Penetrating Radar Using Spectral Estimation Techniques to Estimate the Position of Buried Targets
Super-resolution is very important for the signal processing of GPR (ground penetration radar) to resolve closely buried targets. However, it is not easy to get high resolution as GPR signals are very weak and enveloped by the noise. TheMUSIC (multiple signal classification) algorithm, which is well known for its super-resolution capacity, has been implemented for signal and image processing of...
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