交会末段制导引信一体化系统射频成像目标轮廓重构方法

目标实时精确识别与定位是实现制导引信一体化(GIF)技术的关键,对提高弹药末制导及起爆控制精度具有决定性的意义。以射频成像GIF体制为对象,基于射频成像原理及目标特性,结合计算几何和统计学原理,针对交会末段提出了一种目标轮廓重构方法。该方法通过灰度映射变换,提取仅包含目标信息的灰度值,显著降低了数据量,同时增强了图像对比度;在阈值分割、角点提取的基础上,应用统计学剔除异常值的方法滤除背景噪声并抑制目标边界干扰;利用凸壳技术实现目标轮廓重构,得到可以完全覆盖目标区域的最优凸多边形作为目标轮廓。理论分析和仿真结果表明,该方法时间复杂度低,实时性好,可实现目标的精确识别与定位。

Terminal Target Contour Reconstruction Algorithm Based on RF Imaging for GIF

The real-time accurate target recognition and localization are the key factors to implement the guidance integrated fuzing (GIF) technique and enhance the performance of terminal guidance and the accuracy of burst control. A real-time and accurate terminal target contour reconstruction algorithm for RF imaging GIF technique is proposed based on the principle of RF imaging and the target properties. The gray values with target information are extracted by gray mapping transform, thus decreasing the data quantity and the power-law transformation for image enhancement. Based on threshold segmentation and corner detection, the statistical methods are utilized to filter the background noise and suppress the target boundary interference. The target contour reconstruction is achieved by the convex hull technique, which is the optimal convex coveringa target area. Both the simulation and theoretical analysis results show that the time complexity of the proposed algorithm is lower, thus it can be used to achieved the real-time and accurate terminal target recognition and localization for RF imaging GIF.