空间变迹法在合成孔径声呐成像处理中的应用

空间变迹法（SVA）作为一种超分辨率图像处理技术，能在抑制旁瓣的同时保持良好的主瓣分辨率。将空间变迹法引入合成孔径声呐（SAS）成像，比传统的加窗处理能获得更好的成像效果。对标准空间变迹法进行了推广，得到非标准奈奎斯特采样率下的通用算法，并应用于SAS成像处理。仿真结果表明，二维通用算法在任意奈奎斯特采样倍数时．均能在不增加主瓣宽度的同时得到良好的旁瓣抑制效果，提升了SAS成像分辨率。

Application of Spatially Variant Apodization in SAS Processing

As a super resolution technique, SVA(Spatially Variant Apodization) can reduce sidelobe levels while maintaining the mainlobe resolution. SVA is introduced into synthetic aperture sonar imagery and it can get better imaging results than the conventional weighting approach. The generalized apodization algorithm at the nonstandard Nyquist sample rates is discussed and it is applied for SAS imaging processing. The simulation results demonstrate that 2D generalized SVA algorithm can suppression sidelobes at any...