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
fDate :
Oct. 31 2012-Nov. 2 2012
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;
Conference_Titel :
Radar Conference (EuRAD), 2012 9th European
Conference_Location :
Amsterdam
Print_ISBN :
978-1-4673-2471-7
