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Design of a Practical WSN Based Fingerprint Localization System

机译:基于实用WSN的指纹定位系统的设计

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Fingerprint positioning technology is among the most promising choices for seamless localization and is anticipated to be the future of seamless-locating services. The convenience of deployment and the high density signal source of wireless sensor networks (WSN) make them an ideal infrastructure for fingerprint positioning. In related researches, most WSN based fingerprint positioning systems are experimental demos that focus on the algorithm effectiveness and ignore the system reliability. This work proposes a practical WSN based fingerprint localization system. The system covers both indoor and outdoor scenarios and fulfills the demand for seamless localization. This paper work presents four measures that improve fault tolerance and system efficiency: a traffic regulation based radiomap (TRRM) establishing method, a full-overlapping clustering strategy, an adaptive feature space (AFS) algorithm, and a praxeological tracking algorithm. The proposed system is verified by hardware experiments on smart phones. Positioning accuracy is within 5 m in pedestrian tests and 10 m in driving tests.
机译:指纹定位技术是无缝定位的最有希望的选择之一,并且有望成为无缝定位服务的未来。无线传感器网络(WSN)的部署便利性和高密度信号源使它们成为指纹定位的理想基础架构。在相关研究中,大多数基于WSN的指纹定位系统都是实验性演示,其重点在于算法的有效性而忽略了系统的可靠性。这项工作提出了一个实用的基于WSN的指纹定位系统。该系统涵盖室内和室外场景,并满足无缝本地化的需求。本文工作提出了四种提高容错能力和系统效率的措施:一种基于交通法规的无线电地图(TRRM)建立方法,一种完全重叠的聚类策略,一种自适应特征空间(AFS)算法以及一种人类行为跟踪算法。该系统通过智能手机上的硬件实验得到验证。在行人测试中,定位精度在5 m之内,在驾驶测试中,定位精度在10 m之内。

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