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Accuracy analysis of Bluetooth-Low-Energy ranging and positioning in NLOS environment

机译:NLOS环境中蓝牙低能量测距和定位的精度分析

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Aiming at the low accuracy of Bluetooth-Low-Energy ranging and positioning in NLOS environment, a non-line of sight (NLOS) Bluetooth-Low-Energy ranging method based on the NLOS Bluetooth-Low-Energy ranging model and an NLOS Bluetooth-Low-Energy positioning algorithm based on the TLS method and the triangular positioning algorithm are proposed. Firstly, an line-of-sight (LOS) Bluetooth-Low-Energy ranging model is established by RSSI value and actual distance between the Bluetooth-Low-Energy beacon and the terminal equipment. Secondly, based on the LOS Bluetooth-Low-Energy ranging model and the threshold-corrected RSSI peak, an NLOS Bluetooth-Low-Energy ranging model is established. Thirdly, the NLOS RSSI value is processed by the NLOS Bluetooth-Low-Energy ranging model to obtain the optimal ranging value. Finally, high precision positioning coordinates can be obtained by using NLOS Bluetooth-Low-Energy positioning algorithm and optimal Bluetooth-Low-Energy ranging. In this paper, two experiments are carried out, and the experimental results show that: in the range of 7 m, the average ranging accuracy of the improved NLOS Bluetooth-Low-Energy ranging method is 0.37 m, which is improved 49.19% when compared to the traditional method's results. The average positioning accuracy is 0.4 m using the positioning algorithm proposed in this paper. Therefore, in NLOS environment, the proposed ranging method and positioning algorithm can significantly improve the accuracy of Bluetooth-Low-Energy ranging and positioning.
机译:针对基于NLOS蓝牙 - 低能量测距模型的非透明线(NLOS)的蓝牙低能量测距和定位的低精度,是基于NLOS蓝牙 - 低能量测距模型的非视线(NLOS)蓝牙 - 低能量测距方法和NLOS蓝牙 - 提出了基于TLS方法和三角定位算法的低能量定位算法。首先,通过RSSI值和蓝牙低能量信标和终端设备之间的实际距离建立视线(LOS)蓝牙低能量测距模型。其次,基于LOS蓝牙低能测距模型和阈值校正的RSSI峰值,建立了NLOS蓝牙 - 低能量测距模型。第三,NLOS RSSI值由NLOS蓝牙 - 低能量测距模型处理,以获得最佳测距值。最后,通过使用NLOS蓝牙 - 低能量定位算法和最佳蓝牙低能量测距,可以获得高精度定位坐标。在本文中,进行了两个实验,实验结果表明:在7米的范围内,改进的NLOS蓝牙 - 低能量测距方法的平均测距精度为0.37米,比较时增加了49.19%传统方法的结果。使用本文提出的定位算法,平均定位精度为0.4米。因此,在NLOS环境中,所提出的测距方法和定位算法可以显着提高蓝牙低能量测距和定位的准确性。

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