Enhanced inverse synthetic aperture radar imagery using 2-D spectral estimation

by Ohm, David R.

Abstract (Summary)
This research focused on the use of classical and modern two-dimensional spectral estimation

techniques for enhancing inverse synthetic aperture radar (ISAR) imagery. 2-D Classical

spectral estimation methods and 2-D modern parametric and non-parametric spectral

estimation methods are applied to simulated and real data sets in order to achieve both range

and cross-range resolution enhancement. After a basic introduction of radar fundamentals the

concepts of image formation for ISAR imagery is developed from a 2-D matched filter

method into 2-D Fourier based methods. The concepts of Zero-Doppler clutter subtraction

and polar-to-cartesian interpolation are introduced and applied. 2-D Classical and modern

spectral estimation methods are presented and integrated into image formation algorithms. A

quantitative and qualitative assessment of the imagery product from each is made based on

resolution, variance, and dynamic range. A Matlab toolbox for ISAR image formation of both

simulated and measured ISAR data is developed. Alternative image formation techniques

such as Hybrid algorithms and Time-Frequency Analysis are introduced.

Bibliographical Information:

Advisor:Marple, S. Lawrence

School:Oregon State University

School Location:USA - Oregon

Source Type:Master's Thesis

Keywords:synthetic aperture radar image quality


Date of Publication:10/26/2004

© 2009 All Rights Reserved.