运筹与管理 ›› 2018, Vol. 27 ›› Issue (10): 90-96.DOI: 10.12005/orms.2018.0235

• 理论分析与方法探讨 • 上一篇    下一篇

基于多证据同步融合的目标辨识算法

周莉, 郭伟震, 何月明   

  1. 鲁东大学信息与电气工程学院,山东 烟台 264025
  • 收稿日期:2017-07-12 出版日期:2018-10-25
  • 作者简介:周莉(1966-), 女, 教授, 博士,硕士生导师, 研究方向:信息融合。
  • 基金资助:
    国家自然科学基金重大研究计划资助项目(91538201);国家自然科学基金青年基金资助项目(61304052)

Target Recognition Algorithm Based on Synchronous Fusionof Multiple Pieces of Evidence

ZHOU Li, GUO Wei-zhen, HE Yue-ming   

  1. School of Information &Electrical Engineering, Ludong University, Yantai 264025, China
  • Received:2017-07-12 Online:2018-10-25

摘要: 为提高不同类型冲突证据融合结果的可靠性,提出基于多证据同步融合的目标辨识算法。新算法先是通过分析证据之间的冲突状况,选择适用的冲突衡量参数,并相应给出基于不同参数的证据及源自于不同证据焦元的权值计算公式;进一步,依据新的焦元权值对多证据局部冲突信息实行按权指派。实例和仿真应用结果显示,与现有常用相关算法比较,新算法具有稳定性高、使用范围广泛的优点。

关键词: D-S证据组合规则, 目标辨识, 冲突证据, 焦元

Abstract: In order to improve the reliability of the fusion results of different types of conflict evidence, a target recognition algorithm based on synchronous fusion of multiple pieces of evidence is proposed. First, by analyzing the conflict among pieces of evidence, applicable conflict measure parameters are selected in the new algorithm. And the weight calculation formulas of evidence and those of the focal element originating from different pieces of evidence based on different parameters are given. Furthermore, according to the new weight of focal element, the local conflict information can be assigned to related focal element. The simulation results show that compared with the existing algorithms, the new algorithm has the advantages of high stability and wide range of application.

Key words: D-S evidence combination rule, target recognition, conflict evidence, focal element.

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