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Swadloon: Direction Finding and Indoor Localization Using Acoustic Signal by Shaking Smartphones

机译:Swadloon:通过震动智能手机使用声信号进行测向和室内定位

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We propose an accurate acoustic direction finding scheme, , according to the arbitrary pattern of phone shaking in a rough horizontal plane. Swadloon leverages sensors of the smartphone without the requirement of any specialized devices. Our Swadloon design exploits a key observation: the relative displacement and velocity of the phone-shaking movement corresponds to the subtle phase and frequency shift of the Doppler effects experienced in the received acoustic signal by the phone. Swadloon tracks the displacement of smartphone relative to the acoustic direction with the resolution less than 1 millimeter. The direction is then obtained by combining the velocity from the displacement with the one from the inertial sensors. Major challenges in implementing Swadloon are to measure the displacement precisely and to estimate the shaking velocity accurately when the speed of phone-shaking is low and changes arbitrarily. We propose rigorous methods to address these challenges, and apply Swadloon to several case studies: Phone-to-Phone direction finding, indoor localization and tracking. Our extensive experiments show that the mean error of direction finding is around 2.1 degree within the range of 32 m. For indoor localization, the 90-percentile errors are under 0.92 m. For real-time tracking, the errors are within 0.4 m for walks of 51 m.
机译:我们根据在粗糙的水平面内电话晃动的任意模式,提出了一种精确的声学方向寻找方案。 Swadloon利用智能手机的传感器,而无需任何专用设备。我们的Swadloon设计利用了一个关键的观察结果:电话震动的相对位移和速度对应于电话在接收到的声音信号中所经历的多普勒效应的细微相位和频移。 Swadloon跟踪智能手机相对于声音方向的位移,分辨率小于1毫米。然后通过将来自位移的速度与来自惯性传感器的速度相结合来获得方向。实施Swadloon的主要挑战是精确测量位移并在电话摇动速度较低且任意变化时准确估计摇动速度。我们提出了严谨的方法来应对这些挑战,并将Swadloon应用于一些案例研究:电话到电话的定向,室内定位和跟踪。我们广泛的实验表明,测向的平均误差在32 m范围内约为2.1度。对于室内定位,90%的误差在0.92 m以下。对于实时跟踪,对于51 m的走步,误差在0.4 m以内。

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