Robust Detection of Motor-Produced Audio Signals.

SenSys '18: The 16th ACM Conference on Embedded Networked Sensor Systems Shenzhen China November, 2018(2018)

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摘要
Indoor localization systems cannot rely on the same mechanisms, like GPS, that are used for outdoor or large-scale localization. Instead, autonomous or user-carried devices are often localized by measuring the time taken for an emitted signal to reach a known location; this signal can be sound, light, radio waves, or another similar sensed quantity. Autonomous mobile devices already contain motors, which produce sounds as a side effect of their operation, and so can potentially be included in a localization scheme without new hardware. In this paper, we briefly outline the challenges that need to be met for accurate detection and identification of motor-produced signals. We present a method for improving signal resolution for linear chirps that improves cross-correlation based signal detection by up to 2.8X.
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关键词
chirplet filter,indoor localization,motor side-channel
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