文档介绍：摘要
摘要
多传感器信息融合技术是当前科学研究领域的一个重大课题,其研究内容和目的
是如何对来自多信息源的信息进行综合,实质上是针对由多个同类或多类传感器所组
成的系统这一特定问题而展开的一种新的信息处理方法。其中,态势估计是信息融合
系统中的高层关键技术,其实质是对提取出来的态势要素进行觉察、理解和预测的处
理过程。本文主要研究内容如下:
1 首先划分了态势估计要完成的功能,介绍了态势觉察、态势理解和态势预测三
级功能处理模型,并详细分析了该模型各级所需完成的功能;然后分析了敌我对抗中
敌方企图的结构以及态势估计的推理框架。
2 考虑到本文用于态势估计的两种推理方法都是基于结点模型的推理过程,文中
详细介绍了基于模糊逻辑的聚类形成的层次结构,利用基于模糊等价关系的方法实现
聚类;提出了根据初级融合获得的敌目标有用数据,通过计算进攻关系隶属度以生成
敌方功能群的方法。
3 讨论了态势估计的不确定性因果推理方法,分别研究了 D-S 证据理论和贝叶斯
网络用于态势估计系统的信息融合方法;重点研究了这两种理论用于态势估计问题的
信息传递过程,给出了一种改进的贝叶斯算法;在本文的最后讨论了这两种理论在解
决有着大量不确定信息的态势估计问题时各自的优点及缺陷,给出了作者对态势估计
问题的思考。
关键词:信息融合,态势估计,目标分群,贝叶斯网络,D-S 证据理论。
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Abstract
Abstract
As an important problem in modern scientific research field, multi-sensor information
fusion technique aims to how bine information from multiple sensors and other
associated sources. In fact, information fusion is a new information processing method for a
system which contains many same type sensors or various type sensors. Among the whole
information fusion technique, situation assessment is the key technique for high level
processing of information fusion. And the essence of situation assessment is to make the
situation elements picked up be detected, recognized and estimated. The contents of the
thesis are outlined as follows:
1 The thesis first studies the function for fulfilling situation assessment. A three-level
function processing model, which consists of current situation perception, current situation
recognition and future situation projection, is set up and each level is analyzed in detail.
Then the structure of enemy intention in rivalry between enemy and I is analyzed, as well as
the inference frame of situation assessment.
2 Considering that the two inference methods described in the thesis are both based on
the node models, the hierarchy of target classification is discussed in detail and then a
method based on fuzzy equivalence relation is adopted for implementing ta