Bluetooth-based indoor positioning with fuzzy based dynamic calibration
Bluetooth-based indoor positioning with fuzzy based dynamic calibration
复制标题
基于蓝牙的室内定位和基于模糊的动态校准
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Jeremy Stott
中科院分区：
文献类型：
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作者：
E. Akeila;Z. Salcic;A. Swain;A. Croft;Jeremy Stott
利用现成的蓝牙（BT）技术和BT节点上的接收信号强度指示（RSSI）值进行室内定位一直是研究人员的目标。然而，由于射频信号的性质和环境的变化，RSSI值的波动会导致室内定位应用的精度出现较大误差。本文提出了一种基于监测接收到的RSSI变化和BT节点动态校准来适应这些变化的新方法。为了进一步提高精度，设计了一个模糊逻辑单元来感知环境中BT节点与可用参考节点接近的情况。测试结果表明，与其他已知方法相比，该方案能显著提高室内定位性能。结果表明，该方法能够对室内环境中的目标进行定位，平均误差为1.27m，足以满足多种室内定位应用。
Indoor positioning using readily available Bluetooth (BT) technology and Received Signal Strength Indication (RSSI) values on a BT node has been a goal of researchers for some time. However, the fluctuations of the RSSI values due to the nature of RF signals and the environmental changes lead to significant errors in the accuracy of the indoor positioning applications. This paper proposes a new approach based on monitoring variations of the received RSSI and dynamic calibration of the BT nodes to adapt to these variations. In order to further enhance the accuracy, a fuzzy logic unit has been designed to perceive the situations when the BT node is in proximity to one of the reference nodes available in an environment. Testing results show that the proposed scheme can significantly improve the performance of the indoor positioning compared to other known methods. Results show that the new approach is able to locate objects in the indoor environment with an average error of 1.27m, which is sufficient for many indoor positioning applications.