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研究发现合成孔径声纳(SAS)成像压缩中的旁瓣干扰成为了当前声纳技术的瓶颈,文中通过空间变迹法(SVA)实现了旁瓣抑制和主瓣分辨率优化改进,在一维距离测试中验证了算法优化能够较好的实现旁瓣抑制,在SVA二维成像验证优化得到:和原始成像经过对比二维图像抑制低于-30d;三维视图SVA图像表明整体成像有着不错的分辨率,包络也相对平滑;采用多次迭代的方法能得到更加精确的SAS方位向分辨率,攻克了受限的物理分辨率问题。上述研究成果对于声纳系统分辨率的改进具有明显的理论和实际意义。
It is found that the sidelobe interference in SAR imaging compression becomes the bottleneck of the current sonar technology. Sidelobe suppression and optimization of mainlobe resolution are realized by space apodization (SVA) In the distance test, it is verified that the algorithm optimization can achieve sidelobe suppression well. The SVA 2D image verification and optimization show that the 2D image suppression is less than -30d compared with the original imaging; the SVA image of the 3D view shows that the whole image has a good resolution The rate and envelope are also relatively smooth. Using multiple iterations can achieve more accurate SAS azimuth resolution and overcome the limited physical resolution. The above research results have obvious theoretical and practical significance for the improvement of the resolution of sonar system.