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Comparative evaluation of ISAR processing algorithms
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Date
2012
Author
Tufan, Alper
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In this thesis, Inverse Synthtetic Aperture Radar image reconstruction techniques, named as Range Doppler, Back Projection, Polar Formatting, Multiple Signal Classification (MUSIC) and Time Frequency techniques are analysed and compared using simulations. Time Frequency techniques investigated in this thesis are Short Time Fourier Transform, Wigner-Ville Distribution, Smoothed Wigner-Ville Distribution and Choi-Williams Distribution. First, some fundamental concepts of ISAR, such as resolution, range profile, time dependent Doppler frequency are given. A data simulator is designed and implemented for the purpose of providing configurable input to ISAR signal processing algorithms for a given ISAR target geometry. Estimation of target rotational velocity is explained with the help of three methods, namely Grid Search, WVD Slope and Radon Wigner-Hough Transform. Then, theoretical background of image formation algorithms is discussed. MATLAB simulations for each algorithm are implemented with several configurations in order to visualize and analyse the results. Finally, processing algorithms are compared to discuss the advantages and disadvantages.
Subject Keywords
Radar.
,
Remote sensing.
,
Synthetic aperture radar
,
Synthetic apertures.
,
Imaging systems.
URI
http://etd.lib.metu.edu.tr/upload/12614709/index.pdf
https://hdl.handle.net/11511/21995
Collections
Graduate School of Natural and Applied Sciences, Thesis
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A. Tufan, “Comparative evaluation of ISAR processing algorithms,” M.S. - Master of Science, Middle East Technical University, 2012.
