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首页> 外文会议>International Technical Meeting of The Institute of Navigation >Weighted Centroid Localization Algorithm Based on ZigBee for Indoor Positioning
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Weighted Centroid Localization Algorithm Based on ZigBee for Indoor Positioning

机译：基于Zigbee进行室内定位的加权质心定位算法

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摘要

Distance measurement method based on a Received Signal Strength Indicator (RSSI) is commonly applied in the range-based positioning field. This paper presents two approaches which are weighted centroid localization and Bayesian-based location. By analyzing the existing radio frequency technology for the distance measurement, the paper presented a new weighted centroid localization algorithm. As for the distribution of nodes in a specific environment for indoor positioning, it considers the Beacon nodes with the different influence of the target nodes to determine different weighting factors. Bayesian-based location is a representative of the fingerprinting method. By analyzing the Signal statistical characteristic, Gaussian probability distribution is used for sampling point. Both approaches are implemented at ZigBee platform with the accuracy of meters in a short distance.
机译：基于接收信号强度指示器（RSSI）的距离测量方法通常应用于基于范围的定位场。本文提出了两种方法，该方法是重量质心定位和基于贝叶斯的位置。通过分析现有的距离测量射频技术，介绍了一种新的加权质心本地化算法。至于在特定环境中的节点分布用于室内定位，它考虑了具有目标节点的不同影响以确定不同加权因子的信标节点。基于贝叶斯的位置是指纹方法的代表。通过分析信号统计特性，高斯概率分布用于采样点。这两种方法都在ZigBee平台上实施，准确性在短距离中的仪表。

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