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Indoor ranging and localisation algorithm based on received signal strength indicator using statistic parameters for wireless sensor networks

机译:基于统计信号的接收信号强度指示的室内测距定位算法

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This paper addresses the implementation of indoor real-time localisation system (RLTS) using wireless sensor networks. A RLTS consists of anchor nodes (i.e. nodes with fixed and known locations), beacon nodes and a location engine: the beacon node to be localised sends a packet which is captured from some anchor nodes, the anchor nodes forward the information extracted from the packet to the location engine for the estimation of the position of the transmitting beacon node. The authors present an algorithm that achieves beacon node localisation accuracy of a few metres in indoor environments. The algorithm is based on two steps: in the first step, the algorithm computes the ranging between anchor nodes and beacon node, in the second one, the algorithm estimates the beacon node localisation. The received signal strength indicator (RSSI) is used for the ranging estimation. The proposed approach avoids dedicated and expensive devices, which are used for the synchronisation between beacon and anchor nodes, to compute the time-of-flight of the signal. The authors introduce a confidence parameter for improving accuracy (based on the standard deviation of the RSSI), and an anchor nodes selection strategy for tackling the problem of non-line-of-sight communication between nodes.
机译:本文介绍了使用无线传感器网络的室内实时定位系统(RLTS)的实现。 RLTS由锚节点(即具有固定位置和已知位置的节点),信标节点和位置引擎组成:要定位的信标节点发送从某些锚节点捕获的数据包,这些锚节点转发从数据包中提取的信息到位置引擎以估计发射信标节点的位置。作者提出了一种在室内环境中达到几米的信标节点定位精度的算法。该算法基于两个步骤:第一步,算法计算锚节点和信标节点之间的测距,第二步,算法估算信标节点的定位。接收信号强度指示符(RSSI)用于测距估计。所提出的方法避免了用于信标和锚节点之间的同步的专用且昂贵的设备来计算信号的飞行时间。作者介绍了用于提高准确性的置信度参数(基于RSSI的标准偏差),以及用于解决节点之间非视距通信问题的锚点选择策略。

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