摘要
数据融合即利用计算机在一定的准则下对获得的若干观测信息进行自动分析、综合,以实现所需的决策和评估任务而进行的信息处理。高速、低成本及高可靠性的数据融合技术,不仅在军事领域得到了广泛应用,而且在自动化制造领域、商业部门乃至家庭都有特别广阔的应用前景。重点对数据融合过程中的信息共享策略进行描述,将当前几种主流的分发策略进行分析比较,指出目前还存在的一些问题,得出结论:应用在具体场景中时,要视实际环境、现实需求来决定所应用的分发策略,而目前的几种分发策略应用局限性均较大,对实用性较强的信息共享策略的研究空间还很大。
Data fusion is the process for integating multiple data and knowledge representing the same real-world object as a consistent, accurate, and useful representation. Data fusion technology with high speed, low cost and high reliability is widely applied in the military field, and also has specially broad application prospects in the fields of automated manufacturing, business or even household. This paper focuses on data fusion process of information sharing strategies. Meanwhile several major distribution strategies are analyzed and compared, some problems existed in each strategy pointed out, and conclusions drawn that the distribution policy should dePend on the actual application environment andreality needs. However there still exist several relatively large limitations in the present distribution strategies. Practical strategy research is also required.
出处
《通信技术》
2016年第8期1041-1046,共6页
Communications Technology
关键词
数据融合
信息共享策略
抽取
目标跟踪
data fusion
information sharing strategy
decimation
target tracking
