Shanker Man Shrestha

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. 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.

High resolution image reconstruction by GPR using MUSIC and SAR processing method for landmine detection

Landmine detection is a difficult and very sensitive task as it may cost a human life even with a slight mistake or misdetection. In addition, the invention of non-metallic landmines made the scenario much more complicated and difficult. Various landmine detection techniques have been proposed, such as a metal detector, an electromagnetic induction (EMI), and so on. However, the probability of false alarm is very high in such techniques, which is considered as a sever problem. In this paper, ground penetrating radar, which has the capability to detect the non metal and the plastic mines, has been proposed to detect landmines. In addition, super resolution technique MUSIC algorithm and SAR (Synthetic Aperture Radar) has been implemented for the signal processing and image reconstruction of a GPR signal.

Signal processing of ground penetrating radar using super resolution technique

Ground penetrating radar (GPR) using electromagnetic pulse requires 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. The application of the super resolution method MUSIC (multiple signal classification) algorithm and FFT (fast Fourier transform) are examined. The combined processing method (CPM) of the 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 higher resolution and higher receiving signal level than other conventional signal processing methods.

Application possibilities of super-resolution technique for GPR imaging

ABSTRACT 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. Key words: Subsurface radar, FFT, MUSIC Algorithm, Super Resolution

High Resolution Visualize Technique for Underground Survey Using GPR

In this paper, FMCW (Frequency Modulation Continuous Wave) radar has been proposed for the underground survey. The FFT (Fast Fourier Transform) has high precision of receiving signal level; however, it could not give high resolution. On the other hand, MUSIC (Multiple Signal Classification) algorithm can resolve the super resolution but the precision of receiving signal level is lacking. So, the time domain response of MUSIC processing and IFFT (Inverse FFT) processing has been combined and termed as CPM (Combined Processing Method). The CPM has been implemented for the signal processing and image reconstruction of closely located GPR (Ground Penetrating Radar) targets. In order to support the proposal, a detailed simulation has been preformed analyzing SNR (Signal to Noise Ratio). Moreover, a laboratory experiment has also been performed for thorough investigation and support of the proposed method.