Computer Science – Performance
Scientific paper
Nov 2000
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000spie.4123..216k&link_type=abstract
Proc. SPIE Vol. 4123, p. 216-223, Image Reconstruction from Incomplete Data, Michael A. Fiddy; Rick P. Millane; Eds.
Computer Science
Performance
Scientific paper
We develop a 2D subarray processing technique as an extension of 1D subarray processing to form the image of an inverse synthetic aperture radar (ISAR). By using the 2D processing based on the Capon's spectral estimation method, a high resolution image can be obtained as compared with the conventional Fourier transform and the 1D subarray based method. Our method minimizes the mean output power as much as possible to minimize the interference energy, while the desired scatterer's energy is preserved by using the constraint. Some simulation results are given to demonstrate the performance of the proposed method.
Chun Joohwan
Kim Soohong
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