Analog Ultra Low-Power Acoustic Wake-Up System Based on Frequency Detection

2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS) Pub Date : 2018-11-01 DOI:10.1109/IOTAIS.2018.8600849

Manon Fourniol, V. Gies, V. Barchasz, E. Kussener, H. Barthélemy, R. Vauché, H. Glotin

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引用次数: 9

Abstract

An ultra low power acoustic wake-up detector based on high frequency signal analysis is presented in this paper. Focused on environmental or military Internet of Things (IoT) applications, it aims at detecting in real time the presence of specific animal species or drones for generating alerts and for triggering power consuming tasks such as high frequency signal recording only when needed. This wake-up detector continuously monitors the presence of specific frequencies in an analog acoustic signal, with a good frequency selectivity and a high frequency detection capability. It is based on an ultra-low analog frequency to voltage converter using a current-mirror, analog timers and comparators. Dedicated to long term stealth environmental or military surveys, a strong emphasis has been put on power consumption reduction in order to limit size and weight of the system. This power consumption has been reduced to 34μW, leading to a full year of autonomy including the microphone when powered by 3 coin cell CR2032 batteries.

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基于频率检测的模拟超低功耗声唤醒系统

提出了一种基于高频信号分析的超低功率声唤醒探测器。它专注于环境或军事物联网(IoT)应用，旨在实时检测特定动物物种或无人机的存在，以产生警报，并仅在需要时触发高频信号记录等功耗任务。该唤醒检测器连续监测模拟声信号中特定频率的存在，具有良好的频率选择性和高频检测能力。它基于一个超低模拟频率到电压转换器，使用电流反射镜，模拟计时器和比较器。致力于长期隐身环境或军事调查，为了限制系统的尺寸和重量，重点放在降低功耗上。这一功耗已降至34μW，当使用3节CR2032纽扣电池供电时，包括麦克风在内，可实现一整年的自主性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)

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