DocumentCode :
3680425
Title :
A holographic reconstruction method for circular multistatic subsurface radar
Author :
Daniel Flores-Tapia;Oleksandr Maizlish;Clive M. Alabaster;Stephen Pistorius
Author_Institution :
Dept. of Math., Univ. of Manitoba, Winnipeg, MB, Canada
fYear :
2012
Firstpage :
142
Lastpage :
145
Abstract :
In recent years, the use of Subsurface Radar (SR) has been proposed for some emerging applications such as breast imaging and wood inspection. A circular scan geometry is usually used in these applications to better suit the morphology of the scan region. Nevertheless, the reconstruction of these kind of datasets is a non-trivial task due to the nature of the phase wrappings introduced by the scan geometry and the near field distances between the antenna and the targets. In this paper, a novel reconstruction algorithm for multistatic SR datasets recorded along cylindrical scan geometries is proposed. This image formation approach performs a series of operations in the frequency domain to compensate the effects of the scan geometry. The performance of the proposed method was evaluated using a series of simulated datasets. Compared with its monostatic counterpart, the proposed reconstruction algorithm generated images with a higher signal to noise ratio, spatial accuracy and focal quality.
Keywords :
"Image reconstruction","Geometry","Radar imaging","Signal to noise ratio","Reconstruction algorithms"
Publisher :
ieee
Conference_Titel :
Waveform Diversity & Design Conference (WDD), 2012 International
Type :
conf
DOI :
10.1109/WDD.2012.7311268
Filename :
7311268
Link To Document :
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