GISAR image reconstruction based 2-D smoothed l0 norm minimization in sparse decomposition

Author

Lazarov, Andon ; Kabakchiev, Hristo ; Kostadinov, Todor ; Minchev, Dimitar

Author_Institution

Dept. Inf. & Tech. Sci., Burgs Free Univ., Burgas, Bulgaria

fYear

2015

fDate

24-26 June 2015

Firstpage

416

Lastpage

421

Abstract

General Inverse Synthetic Aperture Radar (GISAR) imaging algorithm based on two-dimensional (2-D) l0 norm minimization in signal sparse decomposition is discussed. GISAR geometry and kinematics are analytically described. GISAR signal model based on Linear Frequency Modulated (LFM) waveform is derived. The GISAR signal formation process is presented as a sparse decomposition in redundant Fourier basis. Image reconstruction procedure is presented as minimization of smooth norm of the image matrix. The algorithm of minimization of the number of non-zero point scatterers is thoroughly described. The results are illustrated by a numerical experiment.

Keywords

FM radar; Fourier transforms; image reconstruction; matrix decomposition; minimisation; radar imaging; synthetic aperture radar; 2D smoothed l0 norm minimization; GISAR image reconstruction; GISAR signal formation process; LFM waveform; general inverse synthetic aperture radar imaging algorithm; image matrix; linear frequency modulated waveform; nonzero point scatterer minimization; redundant Fourier basis; signal sparse decomposition; two-dimensional 10 norm minimization; Image reconstruction; Imaging; Matrix decomposition; Minimization; Radar imaging; Sparse matrices; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Symposium (IRS), 2015 16th International

Conference_Location

Dresden

Type

conf

DOI

10.1109/IRS.2015.7226233

Filename

7226233