基于地理网格和灰色关联的目标数据融合

Target Data Fusion Based on Grey Incidence and Geographical Gridding

提出了地理网格新概念、编码及其与地理坐标之间的转化,将同一目标在地理网格上的多个雷达信息,用灰色关联的方法进行融合,减小了干扰和随机因素引起的测量误差,使目标信息更统一、精确,同时从数据处理的角度提高了雷达的抗干扰能力,并通过实例验证了本方法的可行性和有效性。

A new definition of geographical gridding and its code is presented aiming at network wartare. Data of various radars are fused by using a method of grey incidence, which can be used to diminish the measuring error caused by jam and other random factors. This method can make the target information more unified and accurate, and at the same time the anti - jam ability of the radar is enhanced in the sense of data processing. At last, an example is given to validate the feasibility and validity of this method.