Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Signal Processing of Ground Penetrating Radar Using Spectral Estimation Techniques to Estimate the Position of Buried Targets | EURASIP Journal on Applied Signal Processing 2003 12 1198-1209 2003 Hindawi Publishing Corporation Signal Processing of Ground Penetrating Radar Using Spectral Estimation Techniques to Estimate the Position of Buried Targets Shanker Man Shrestha Arai Laboratory Electronic Engineering Department The University of Electro-Communications 1-5-1 Chofugaoka Chofu Tokyo 182-8585 Japan Email shanker@ Ikuo Arai Arai Laboratory Electronic Engineering Department The University of Electro-Communications 1-5-1 Chofugaoka Chofu Tokyo 182-8585 Japan Email arai@ Received 29 March 2003 and in revised form 28 June 2003 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. Keywords and phrases FFT GPR MUSIC algorithm SFCW radar super-resolution signal processing. 1. INTRODUCTION Spectral estimation techniques have been approved as a unique tool for signal and image processing .
