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. The MUSIC (multiple signal classification) algorithm, which is well known for its super-resolution capacity, has been implemented for signal and image processing of GPR. In addition, conventional spectral estimation technique, FFT (fast Fourier transform), has also been implemented for high-precision receiving signal level. In this paper, we propose CPM (combined processing method), which combines time domain response of MUSIC algorithm and conventional IFFT (inverse fast Fourier transform) to obtain a super-resolution and high-precision signal level. In order to support the proposal, detailed simulation was performed analyzing SNR (signal-to-noise ratio). Moreover, a field experiment at a research field and a laboratory experiment at the University of Electro-Communications, Tokyo, were also performed for thorough investigation and supported the proposed method. All the simulation and experimental results are presented.

Ground Penetrating Radar (GPR) using electromagnetic pulse required high resolution due to its narrow bandwidth nature. The rising requirement for high resolution lead to specific demands for improved prediction methods, all requiring many aspects to be examined. In this paper, the application possibility of super resolution method MUSIC (Multiple Signal Classification) algorithm and FFT (Fast Fourier Transform) are examined. Combined Processing Method (CPM) of time domain response of MUSIC and IFFT (Inverse Fast Fourier Transform) is proposed for signal processing of GPR for the first time. Simulation and experimental results show that CPM has both high resolution and high receiving signal level than other conventional signal processing methods.

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Improvement of resolution is the challenging issue in Ground Penetrating Radar (GPR) and that is greatly desired to increase in order to get the clear imaging of very closely buried targets. GPR has been approved as very successful technology for various kinds of investigations & detection of buried targets. In this paper, the application possibility of super resolution technique MUSIC (Multiple Signal Classification) algorithm is examined 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) oftime domain response of MUSIC and IFFT (Inverse FFT) has been proposed for the first time to get high resolution and high precision receiving signal level. Simulation and experiment result show that the proposed method has high resolution and high precision receiving signal level than other conventional signal processing approach.