DocumentCode
593521
Title
Module spatially variant apodization algorithm for enhancing radar images
Author
Qi Wang ; Weiqiang Zhu ; Zhijian Li ; Zhenhai Ji ; Yongzhi Sun
Author_Institution
Nanjing Electron. Equip. Inst., Nanjing, China
fYear
2012
fDate
Oct. 31 2012-Nov. 2 2012
Firstpage
294
Lastpage
297
Abstract
In this paper, a non-linear adaptive sidelobe control algorithm is discussed and a module spatial variant apodization (MSVA) algorithm is proposed. This algorithm could provide a method different from spatial variant apodization (SVA) mainlobe differentiation, which uses module to differentiate mainlobe. Good result is obtained. Experimental study is conducted to this algorithm by simulation and actual radar image. The result validates effectiveness of this algorithm.
Keywords
acoustic imaging; differentiation; optical images; radar imaging; MSVA algorithm; SVA mainlobe differentiation; module spatial variant apodization; nonlinear adaptive sidelobe control; radar images; Algorithm design and analysis; Equations; Image resolution; Mathematical model; Radar imaging; Signal processing algorithms; Synthetic aperture radar; Nyquist sample; Radar imaging; SVA; image enhancing;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference (EuRAD), 2012 9th European
Conference_Location
Amsterdam
Print_ISBN
978-1-4673-2471-7
Type
conf
Filename
6450635
Link To Document