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PAMT: Phase-based Acoustic Motion Tracking in Multipath Fading Environments

机译:PAMT:多径衰落环境中基于相位的声学运动跟踪

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摘要

Motion tracking technologies have been widely used in mobile interaction applications, such as Virtual Reality (VR), healthy monitoring, and virtual touch control. Compared with dedicated hardware devices, mobile phones use reliable speakers and microphones, and can serve as ubiquitous devices for cheap acoustic-based motion tracking solutions. However, for complex indoor environments, it is very difficult for acoustic-based methods to achieve accurate motion tracking due to multipath fading and limited sampling rate at mobile devices. In this paper, a new parameter named Multipath Effect Ratio (MER) is defined to indicate the multipath fading effect on received signals at different frequencies. Based on MER, a novel multipath effect mitigating technique is developed to calculate the phase change of acoustic signals and track the corresponding moving distance by using multiple speakers. A Phase-based Acoustic Motion Tracking (PAMT) method is then proposed and implemented on standard Android smartphones. Experiment results show, without any specialized hardware, PAMT can achieve an impressive millimeter-level accuracy for localization and motion tracking applications in multipath fading environments. Specifically, the measurement errors are less than 2mm and 4mm in one-dimensional and two-dimensional scenarios, respectively.
机译:运动跟踪技术已广泛用于移动交互应用,例如虚拟现实(VR),健康监控和虚拟触摸控制。与专用硬件设备相比,手机使用可靠的扬声器和麦克风,并可作为廉价的基于声学的运动跟踪解决方案的无处不在的设备。然而,对于复杂的室内环境,基于声学的方法非常困难,以实现由于移动设备的多径衰落和有限的采样率而实现准确的运动跟踪。在本文中,定义了一个名为MultiPath效应比(MER)的新参数,以指示在不同频率下接收信号的多径衰落效果。基于MER,开发了一种新的多径效应缓解技术来计算声信号的相位变化并通过使用多个扬声器跟踪相应的移动距离。然后在标准的Android智能手机上提出并实现了基于相位的声学运动跟踪(PAMT)方法。实验结果表明,没有任何专业化的硬件,PAMT可以实现令人印象深刻的毫米级精度,用于多径衰落环境中的本地化和运动跟踪应用。具体地,测量误差分别在一维和二维场景中小于2mm和4mm。

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