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Phascope: Fine-Grained, Fast, Flexible Motion Profiling based on Phase Offset in Acoustic OFDM Signal

机译:Phascope:基于正交OFDM信号相位偏移的细粒度,快速,灵活的运动曲线分析

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摘要

Acoustic Doppler shift estimation is a cost-effective way to implement Human-Computer Interaction applications across existing smart devices such as smart phones and smart spekaers. However, due to the inherent uncertainty principle in the traditional time-frequency analysis, it remains challenging to profile motions accurately and timely. In this paper, phase offset in acoustic OFDM signal is leveraged for developing Phascope, a fine-grained, fast and flexible motion profiling scheme. We evaluate Phascope using simulation and experiment on COTS devices. Sub-millisecond response time is achieved for Phascope in our experiment. Besides, with optimal subcarrier selection and SNR of 30 dB over all subcarriers, Phascope can estimate motion speed of 0.1 m/s with 6.75% root-mean-square error (RMSE) compared to optimized FFT method.
机译:声学多普勒频移估计是一种在现有智能设备(例如智能电话和智能扬声器)上实现人机交互应用程序的经济高效的方法。然而,由于传统时频分析中固有的不确定性原理,准确,及时地描绘运动仍然具有挑战性。在本文中,利用声学OFDM信号中的相位偏移来开发Phascope,这是一种细粒度,快速而灵活的运动分析方案。我们使用COTS设备进行仿真和实验来评估Phascope。在我们的实验中,Phascope达到了亚毫秒级的响应时间。此外,凭借最佳的子载波选择和所有子载波的SNR为30 dB,与优化的FFT方法相比,Phascope可以估计出0.1 m / s的运动速度,并且具有6.75%的均方根误差(RMSE)。

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