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Design and Implementation of an Ultrasonic Localization System for Wireless Sensor Networks using Angle-of-Arrival and Distance Measurement

机译:使用到达角度和距离测量的无线传感器网络超声定位系统的设计与实现

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This paper presents a localization system for Wireless Sensor Networks (WSN) based on ultrasonic (US) Time-of-Flight (ToF) measurements. The participants send out US pulses while a central localization unit measures the Time-Difference-of-Arrival (TDoA) between four US sensors to calculate the Angle-of-Arrival (AoA). The radio frequency (RF) transceiver of the sensor nodes enables distance measurements using TDoA (US vs. RF) in addition. This improves the localization accuracy significantly since the estimated distance from triangulation suffers excessively from even small angle errors. Several filter stages including Kalman-filtering minimize the number of outliers and fluctuations of the calculated distances and angles. Those computed polar coordinates (angle/distance) are converted into a Cartesian form and forwarded to a base station which is connected to a PC. The mean error and standard deviation of the angle and distance measurements (1.36° ± 0.39°/1.00 cm ± 0.14 cm) lead to a small mean localization error of 4.21 cm and a standard deviation of 0.57 cm.
机译:本文介绍了基于超声波(US)飞行时间(TOF)测量的无线传感器网络(WSN)的本地化系统。参与者在中央定位单元衡量四个美国传感器之间的到达时间差(TDOA)以计算到达角度(AOA)。传感器节点的射频(RF)收发器能够另外使用TDOA(US VS. RF)进行距离测量。这显着提高了本地化精度,因为从三角测量的估计距离过度从小角度误差遭受过度影响。包括卡尔曼滤波的几个过滤阶段最小化了计算出的距离和角度的异常值和波动。计算的极性坐标(角度/距离)被转换为笛卡尔形式并转发到连接到PC的基站。角度和距离测量的平均误差和标准偏差(1.36°±0.39°/ 1.00 cm±0.14厘米)导致小的平均定位误差为4.21厘米,标准偏差为0.57厘米。

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