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Analysis of Distance and Similarity Metrics in Indoor Positioning Based on Bluetooth Low Energy

机译:基于蓝牙低能的室内定位距离与相似度量分析

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In this work, we provide an analysis of BLE channel-separate fingerprinting using different distance and similarity measures. In a 168 m~2 testbed, 12 beacons with Eddystone and iBeacon protocols set were deployed, taking into account the orientation of users and considering 10 distance/similarity measures. We have observed that there is an orientation that offers the best positioning performance with the combination of iBeacon protocol, channel 38 and Mahalanobis distance. Taking 8 samples in the online phase, accuracy values obtained are in the range 1.28 m-1.88 m, and precision values are within 1.90 m-3.76 m or less, 90% of the time and depending which orientation the observer is facing.
机译:在这项工作中,我们使用不同距离和相似度测量提供了对BLE通道分开的指纹识别的分析。在168 m〜2的测试平台中,部署了12个带有Eddystone和IBeAcon协议集的信标,考虑到用户的方向,并考虑到10个距离/相似度措施。我们已经观察到有一个方向,它提供了具有IBEACON协议,通道38和Mahalanobis距离的组合的最佳定位性能。在在线阶段进行8个样本,所获得的精度值在1.28 m-1.88 m的范围内,精度值在1.90 m-3.76 m或更小,90%的时间内,并且取决于观察者面向的哪个方向。

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