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2011-08-03
CSAR Imaging with Data Extrapolation and Approximate Glrt Techniques
By
Progress In Electromagnetics Research M, Vol. 19, 209-220, 2011
Abstract
Circular synthetic aperture radar (CSAR) is different from other usual SAR modes, e.g., Stripmap SAR or Spotlight SAR, which takes a circular path rather than a straight path. It can provide not only two-dimensional (2-D) high resolution images but also three-dimensional (3-D) information about the target. In this paper, 2-D CSAR imaging containing 3-D information about the target is discussed. Considering the limited bandwidth of radar system and the limited angular persistence of the reflector's scattering characteristic in a real scene, we combine the data extrapolation technique based on the autoregressive (AR) model with the non-coherent combination of the sub-aperture images based on the approximate Generalized Likelihood Ratio Test (GLRT) technique to get a 2-D CSAR image with resolution improved and with aspect-dependent reflectivity characteristics kept. The GTRI T-72 tank dataset is processed to test the algorithm.
Citation
Lingjuan Yu Yunhua Zhang , "CSAR Imaging with Data Extrapolation and Approximate Glrt Techniques," Progress In Electromagnetics Research M, Vol. 19, 209-220, 2011.
doi:10.2528/PIERM11062904
http://www.jpier.org/PIERM/pier.php?paper=11062904
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