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Study on Weighted Centroid Localization Algorithm for an Indoor Localization

机译:室内定位加权质心定位算法研究

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Localization algorithm is very important in node localization. The received signal strength (RSS) can be used to reduce positioning time. In this paper, an improved weighted centroid localization algorithm based on RSSI (IWCL-RSSI) is proposed for an indoor localization. Theoretical analysis shows know that the proposed algorithm has the advantage of lower complexity, less prior information and lower power consumption. The simulation results show that the proposed algorithm is more accurate than AMWCL-RSSI (anchor_optimized modified weighted centroid localization algorithm based on RSSI), and at least as good as WCL (weighted centroid localization) in terms of the localization accuracy. Real experimental results show that IWCL-RSSI is better than WCL in terms of the localization accuracy.
机译:本地化算法在节点本地化中非常重要。接收的信号强度(RSS)可用于降低定位时间。本文提出了一种基于RSSI(IWCL-RSSI)的改进的重量质心定位算法,用于室内定位。理论分析表明,该算法具有较低复杂性,较少的现有信息和较低功耗的优点。仿真结果表明,该算法比AMWCL-RSSI(基于RSSI的Achor_Optimized修正的加权质心定位算法更准确,并且至少与定位精度一样好作为WCL(加权质心定位)。实验结果表明,在本地化精度方面,IWCL-RSSI优于WCL。

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