基于贝叶斯网络的一种常规雷达目标识别方法

现役的常规雷达一般不具备径向上和横向上的高分辨率,雷达所揭示的目标信息非常有限。贝叶斯网络基本原理基于概率论的统计知识,作为一种分类器,它使错误的分类概率最小。文中将它引入雷达目标识别,将这些有限的信息利用起来实现对雷达目标的粗分类,取得了不错的效果。

Target Identifies Method of Normal Radar Based on Beyesian Network

The current normal radar does not have the high-resolution in radical and horizontal. So the target information that radar obtained is limited. The basic principle of Beyesian network which is classify tool that make minimal crror based on statistical theory, it make use of limited radar informations to achieve simple classify. The radar target identify to obtain the quite good result is introduced it into.