| 雷达图像幅值空间变迹算法 |
| |
| 引用本文： | 王琦. 雷达图像幅值空间变迹算法[J]. 航天电子对抗, 2009, 0(1): 48-51 |
| |
| 作者姓名： | 王琦 |
| |
| 作者单位： | 中国航天科工集团8511研究所,江苏,南京,210007 |
| |
| 摘 要： | 针对旁瓣抑制,给出了一种幅值空间变迹算法。该算法与一般空间变迹法不同,主要通过每一像素点幅值与相邻两个Nyquist采样点幅值之和做比较来判别该点处于主瓣还是旁瓣,来加以不同处理。在整数倍Nyquist采样的情况下,这种算法不仅压低旁瓣还使主瓣变窄,能得到比传统SVA更高的分辨率,在非整数倍Nyquist采样的情况下也比SVA具有更好的稳健性。对此进行了实验研究,结果证实了该算法的有效性。
|
| 关 键 词： | SAR 空间变迹法 幅值空间变迹算法 |
Module spatially variant apodization algorithm for radar image |
| |
| Wang Qi. Module spatially variant apodization algorithm for radar image[J]. Aerospace Electronic Warfare, 2009, 0(1): 48-51 |
| |
| Authors: | Wang Qi |
| |
| Affiliation: | No.8511 Research Institute of CASIC;Nanjing 210007;Jiangsu;China |
| |
| Abstract: | 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.In the case of integer Nyquist Sample Rates,MSVA can not only suppress sidelobes but also narrow mainlobe,and can obtain higher resolution than traditional SVA.In the case of Noninteger Nyquist Sample Rates,MSVA has better rob... |
| |
| Keywords: | SAR |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
