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A localization algorithm by dynamic path-loss fading index for intelligent mining system

机译:基于动态路径损耗衰落指标的智能采矿系统定位算法

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In recent years, the localization technology for wireless sensor network becomes an important research issue for Intelligent mine system. The calculation error of traditional RSSI-based localization algorithm may exceed 50%. This paper presents DPFI, a RSSI-based localization algorithm, which achieves higher accuracy in underground personnel localization by acquiring dynamic path-loss fading index (PFI) of wireless signals. The simulation results show that DPFI has 95th percentile positioning error within 1m, while the width of the roadway width is 30 meters. When the error range is 1m and the roadway width is 10m, DPFI also brings a 31.2% performance improvement than traditional RSSI-based algorithm.
机译:近年来,无线传感器网络的定位技术成为智能防雷系统的重要研究课题。传统的基于RSSI的定位算法的计算误差可能超过50%。本文提出了一种基于RSSI的定位算法DPFI,该算法通过获取无线信号的动态路径损耗衰减指数(PFI)来实现地下人员定位的更高准确性。仿真结果表明,DPFI在1m内具有95%的定位误差,而巷道宽度的宽度为30米。当误差范围为1m,巷道宽度为10m时,DPFI的性能也比传统基于RSSI的算法提高了31.2%。

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