DocumentCode
1036477
Title
High-resolution radar imaging using 2-D linear prediction
Author
Gupta, Inder J.
Author_Institution
ElectroSci. Lab., Ohio State Univ., Columbus, OH, USA
Volume
42
Issue
1
fYear
1994
fDate
1/1/1994 12:00:00 AM
Firstpage
31
Lastpage
37
Abstract
An algorithm for radar imaging is described. The algorithm is based on two-dimensional (2-D) linear prediction of 2-D Cartesian frequency spectra. It is shown that the algorithm provides much better resolution than the ISAR image obtained using a 2-D inverse Fourier transform. The algorithm is especially useful for imaging targets using small-bandwidth RCS data over limited aspect angle regions
Keywords
filtering and prediction theory; radar cross-sections; 2-D Cartesian frequency spectra; 2-D linear prediction; algorithm; aspect angle; high-resolution radar imaging; small-bandwidth RCS data; Bandwidth; Fourier transforms; Frequency; Image resolution; Inverse synthetic aperture radar; Radar cross section; Radar imaging; Radar scattering; Time domain analysis; Two dimensional displays;
fLanguage
English
Journal_Title
Antennas and Propagation, IEEE Transactions on
Publisher
ieee
ISSN
0018-926X
Type
jour
DOI
10.1109/8.272298
Filename
272298
Link To Document