由于实波束地图方位分辨率低,从中很难分离出如机场、舰船及海岸线等目标的有用信息,使得战机无法实施对地、对海火力攻击。文中提出了一种基于实测数据处理的统计优化反卷积实波束锐化算法。该算法通过运动补偿及迭代算法,对实波束地图进行锐化,以实现方位超分辨。从仿真数据分析及实测数据处理的结果可以看出,所提方法能有效提高实波束地图的方位分辨率,具有很高的工程应用价值。

Because the real beam map of azimuth resolution is low, from which it was difficult to separate the useful information such as airport, ship and coast line target, which can not be implemented to ground and sea attack fighter. This paper presents a statistical optimum deconvolution real beam sharpening algorithm based on real measured data processing, through the algorithm of motion compensation and iterative algorithm, sharpening the real beam map, to achieve azimuth super resolution, from the simulation data analysis and real measure data processing can be seen from the results, the proposed method can effectively improve the real beam map azimuth resolution, with a strong engineering application value.

TN957