火力与指挥控制2017，Vol.42Issue(4)：42-46,5.
基于多源冲突数据聚类的态势估计方法
Situation Assessment Method Based on Clustering of Multi Source Conflict Data
摘要
Abstract
The estimating results of traditional harmonic situation assessment methods will degrade when fusing multi-source conflict data. To this end,a new method of non-harmonic situation assessment is proposed based on conflicting data clustering in this paper. First,an iterative self-organizing data clustering method (ISODATA)is used to cluster the multi-source conflict data. Then, the importance of the data clusters is evaluated by its frequency and reliability. Finally the situation assessment results are achieved. The simulation results show that,compared with the traditional D-S evidences reasoning method,the proposed method can obtain higher confidence fusion results from multi-source conflict data.关键词
态势估计/证据推理/冲突数据聚类Key words
situation assessment/evidences reasoning/conflict data/clustering分类
信息技术与安全科学引用本文复制引用
李龙顺,彭冬亮,申屠晗,薛安克,刘俊..基于多源冲突数据聚类的态势估计方法[J].火力与指挥控制,2017,42(4):42-46,5.基金项目
国家自然科学基金(61427808 （）
61375078) （）
国家"973"基金资助项目(2012CB821204) （2012CB821204）
