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CSAR IMAGING WITH DATA EXTRAPOLATION AND APPROXIMATE GLRT TECHNIQUES

By L. Yu and Y. Zhang

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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:
L. Yu and Y. Zhang, "CSAR Imaging with Data Extrapolation and Approximate Glrt Techniques," Progress In Electromagnetics Research M, Vol. 19, 209-220, 2011.
doi:10.2528/PIERM11062904

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