Title :
High-resolution radar imaging using 2-D linear prediction
Author_Institution :
ElectroSci. Lab., Ohio State Univ., Columbus, OH, USA
fDate :
1/1/1994 12:00:00 AM
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;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
