目标数据关联的分布式推理判决研究
THE RESEARCH FOR TARGET DATA ASSOCIATION BASED ON THE PRINCIPLE OF DISTRIBUTED INFERENCE AND DECISION
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摘要: 分布式分类系统理论是用来解决分布式缠绕判决分类问题(DID)的理论。本文首次把分布式推理判决理论引入数据融合中的目标数据关联问题,详细描述了分布式目标数据关联推理判决系统的基本原理和系统结构,并在此基础上设计了相应的算法。该算法分为两个阶段即初步推理判决阶段和分布式推理判决阶段,最后对算法进行了讨论。Abstract: The theory of distributed inference and decision is a kind of theory to be used to solve the distributed interwound decision problems. This theory is first presented to solve the problem of target data association in this paper. The basic principle and structure of distributed target data association decision system are formulated and a algorithm for this problem is designed based on the principle and structure. The algorithm is divided into two stages , the one is initial inference and decision stage, another is distributed inference and decision stage. In the end of this paper the algorithm is discussed.
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