DocumentCode :
903791
Title :
Super-resolution imaging for point reflectors near transmitting and receiving array
Author :
Miwa, Takashi ; Arai, Ikuo
Author_Institution :
Electron. Eng. Dept, Univ. of Electro-Commun., Tokyo, Japan
Volume :
52
Issue :
1
fYear :
2004
Firstpage :
220
Lastpage :
229
Abstract :
This paper presents subsurface imaging techniques using the well-known MUSIC algorithm to localize point reflectors in cross-borehole radar arrangements. Radar signals received by a spatial array have to be decorrelated, in general, as a preprocessing step when the MUSIC algorithm is implemented. Since most of the decorrelation techniques are based on planar wave incidence model, it is difficult to apply the decorrelation technique for signals from radar targets in the near field of the array. In this paper, we introduce a decorrelation technique with transmitting and receiving array for targets near the array and apply the MUSIC algorithm for estimating the two dimensional position of the point targets in crosshole tomographic measurement. Further, an expanded version of the algorithm to eliminate the direct wave is also derived. Simulation results show that this method offers much higher resolution and accuracy than the conventional diffraction stack method. The paper also discusses the relationship between the SNR ratio and the minimum target separation to be resolved.
Keywords :
antenna arrays; array signal processing; buried object detection; decorrelation; ground penetrating radar; matrix algebra; radar antennas; radar detection; radar imaging; MUSIC algorithm; SNR ratio; array signal processing; cross hole tomographic; cross-borehole radar arrangements; decorrelation techniques; matrix division; planar wave incidence model; point reflectors; preprocessing step; radar imaging; radar signal processing; spatial array; subsurface imaging techniques; super-resolution imaging; target separation; underground electromagnetic propagation; Decorrelation; Geologic measurements; Image resolution; Multiple signal classification; Radar detection; Radar imaging; Signal processing algorithms; Signal resolution; Spatial resolution; Tomography;
fLanguage :
English
Journal_Title :
Antennas and Propagation, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-926X
Type :
jour
DOI :
10.1109/TAP.2003.820975
Filename :
1268318
Link To Document :
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