Paper Info
Title
Signal Processing of Ground Penetrating Radar Using Spectral Estimation Techniques to Estimate the Position of Buried Targets
Abstract
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.
Year
DOI
Venue
2003
10.1155/S1110865703307036
EURASIP J. Adv. Sig. Proc.
Keywords
Field
DocType
ground penetrating radar,signal processing,spectral estimation
Radar,Signal processing,Computer vision,Spectral density estimation,Digital signal processing,Multidimensional signal processing,Computer science,Image processing,Fast Fourier transform,Artificial intelligence,Space-time adaptive processing
Journal
Volume
Issue
ISSN
2003
12
1687-6180
Citations 
PageRank 
References 
8
0.87
4
Authors
2
Name
Order
Citations
PageRank
Shanker Man Shrestha191.25
Ikuo Arai291.25