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一种基于白化权函数的基本信任分配构造方法 被引量:1

A Method of Basic Belief Assignment Construction Based on the Whitenization Weighted Function
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摘要 Dempster组合规则是决策层融合目标识别中的一种常用融合算子,它的应用前提是建立合理的基本信任分配函数。本文针对各子源传感器输出的度量层信息,首先分析了基本信任分配的构造准则,并借鉴灰色定权聚类方法,通过白化权函数对基本信任分配进行了构造。在空中雷达目标实测数据上的实验结果表明,该方法构造的基本信任分配能够有效地在Dempster组合规则下进行融合。 Dempster rule of combination is a useful fusion operator for decision level recognition fusion. The premise for applying this rule is the construction of rational basic belief assignment. Aiming at the measurement information from each sensor in decision level recognition fusion, this paper suggests a group of principles for constructing basic belief assignment, and then presents a strategy of basic belief assignment construction based on the whitenization weighted function from grey fixed weighted clustering. The experiment on the data of radar aerial targets demonstrates the basic belief assignments constructed by the presented method can be fused by Dempster rule of combination effectively.
出处 《信号处理》 CSCD 北大核心 2009年第7期1038-1043,共6页 Journal of Signal Processing
关键词 Dempster—Shafer理论 灰色定权聚类 基本信任分配 白化权函数 融合目标识别 Dempster-Shafer theory grey fixed weighted clustering basic belief assignment whitenization weighted function target recognition fusion
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