Title :
Adaptive ISAR image construction from nonuniformly undersampled data
Author :
Wang, Yuanxun ; Ling, Hao
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
fDate :
2/1/2000 12:00:00 AM
Abstract :
An adaptive approach is proposed to construct ISAR images from nonuniformly undersampled data in the angular domain. The algorithm uses an adaptive scattering feature extraction engine in place of the Fourier transform in the image construction procedure. The algorithm entails searching and extracting out individual target scattering features one at a time in an iterative fashion. The interference between different target scattering features is thus avoided and a clean ISAR image without the aliasing effect can be obtained. The algorithm is verified by constructing the ISAR image from the chamber measurement data of the model VFY-218 airplane
Keywords :
adaptive signal processing; electromagnetic wave scattering; feature extraction; image recognition; image reconstruction; image sampling; radar imaging; synthetic aperture radar; adaptive ISAR image construction; adaptive approach; adaptive scattering feature extraction; angular domain; feature extraction; iterative fashion; model VFY-218 airplane; nonuniformly undersampled data; searching; target scattering features; Airplanes; Data mining; Electromagnetic scattering; Engines; Feature extraction; Fourier transforms; Frequency; Interference; Iterative algorithms; Radar scattering;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
