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Research on target attributes fusion in netted-radar based on D-S evidence theory

机译:基于D-S证据理论的网状雷达目标属性融合研究

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The information provided by netted-radar usually contains much more uncertainty, and counterintuitive results would be generated by D-S evidence theory with highly conflicting evidences. A model-modified D-S method is proposed in this paper, which can acquire rational fusion results when the evidences are highly conflicting. In addition, a two-level fusion structure is put forward to further eliminate the uncertainty of single-scan measurements. Simulation results show that the novel method could effectively weaken the conflict between evidence, and improve the reliability of fusion result which reduces the decision-making risk.
机译:网状雷达提供的信息通常包含更多的不确定性,而D-S证据理论会在证据高度冲突的情况下产生违反直觉的结果。本文提出了一种模型修正的D-S方法,当证据高度矛盾时,可以获得合理的融合结果。此外,提出了一种两级融合结构,以进一步消除单次扫描测量的不确定性。仿真结果表明,该方法可以有效地减弱证据之间的冲突,提高融合结果的可靠性,降低决策风险。

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