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计算机工程 ›› 2013, Vol. 39 ›› Issue (5): 69-72,77. doi: 10.3969/j.issn.1000-3428.2013.05.014

• 先进计算与数据处理 • 上一篇    下一篇

基于DST和PCR2的自适应信息融合算法

陈金广,张 芬   

  1. (西安工程大学计算机科学学院,西安 710048)
  • 收稿日期:2012-05-15 出版日期:2013-05-15 发布日期:2013-05-14
  • 作者简介:陈金广(1977-),男,副教授、博士,主研方向:信息融合,目标跟踪;张 芬,硕士研究生
  • 基金资助:
    国家自然科学基金资助项目(61201118);陕西省教育厅科研计划基金资助项目(12JK0529);西安工程大学博士科研启动基金资助项目(BS1111)

Adaptive Information Fusion Algorithm Based on DST and PCR2

CHEN Jin-guang, ZHANG Fen   

  1. (School of Computer Science, Xi’an Polytechnic University, Xi’an 710048, China)
  • Received:2012-05-15 Online:2013-05-15 Published:2013-05-14

摘要: DS理论(DST)在低冲突条件下融合精度高于DSm理论(DSmT),而DSmT在高冲突条件下融合精度高于DST。为进一步提高融合精度,结合DST和DSmT的优点,提出一种基于DST和PCR2的自适应信息融合算法。对DSmT框架下的分配法则进行分析,选择融合精度较高且时间复杂度较低的PCR2分配法则。采用PCR2和DST进行自适应融合,即在冲突率高的情况下使用PCR2,而在冲突率低的情况下使用DST。算例结果表明,该算法能够进一步提高融合结果的准确程度,时间复杂度介于DST和PCR2规则之间。

关键词: DS理论, DSm理论, PCR2规则, 自适应信息融合, 证据理论

Abstract: Dempster Shafer Theory(DST) fusion accuracy is higher than Dezert Smarandache Theory(DSmT) under low-conflict conditions, and DSmT fusion accuracy is better than DST under high-conflict conditions. In order to obtain more accurate fusion results, through combining advantages of DST and DSmT, this paper proposes an adaptive information fusion algorithm based on DST and PCR2. The allocation rules under DSmT framework are analyzed, and the rule of PCR2 is selected because of its higher accuracy and lower complexity. Adaptive fusion algorithm is given using PCR2 and DST, PCR2 is employed when there are higher conflicts, and DST is employed when there are lower conflicts. Numerical results show that this algorithm obtains better fusion results and its complexity is between DST and PCR2.

Key words: Dempster Shafer Theory(DST), Dezert Smarandache Theory(DSmT), PCR2 rule, adaptive information fusion, evidence theory

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