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Location data fusion based on group consensus

机译:基于群体共识的位置数据融合

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摘要

A new method of multi-sensor location data fusion is proposed. The method is based on group consensus approach, which constructs group utility function (or its density) based on uncertainty of each sensor, and the location estimation is obtained based on the group utility function (or its density). The simulation results show that the method is better than those of mean and median estimation, and outliter and sensor failure can not affect the location estimation.
机译:提出了一种多传感器位置数据融合的新方法。该方法基于群体共识方法,该方法基于每个传感器的不确定性构造群体效用函数(或其密度),并基于群体效用函数(或其密度)获得位置估计。仿真结果表明,该方法优于均值和中值估计,并且完全不影响传感器的位置估计。

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