A 148nW General-Purpose Event-Driven Intelligent Wake-Up Chip for AIoT Devices Using Asynchronous Spike-Based Feature Extractor and Convolutional Neural Network

📋 论文概要

提出了一款148nW的通用事件驱动智能唤醒芯片，用于AIoT设备，采用异步脉冲特征提取技术，解决了随机稀疏事件场景下的功耗瓶颈问题。

💡 主要创新点

• 采用异步脉冲特征提取架构，实现极低功耗（148nW）的通用唤醒功能
• 事件驱动设计，仅在检测到有效事件时唤醒主系统，显著降低系统待机功耗

🏷 关键词

📄 原文摘要

University, Hangzhou, China 4 XINYI Information Technology, Shanghai, China 1 2 Power is a major bottleneck in AIoT devices, which usually operate in random-sparseevent (RSE) scenarios [1] (Fig. 12.1.1, bottom). To process RSEs energy-efficiently, one can integrate an always-on wake-up chip [1-5] that only turns on the power-hungry high-performance system (HPS) once valid events are detected. Previous dedicated voice-activity-detection (VAD) wake-up chips using analog front-ends (AFE) followed by neural-network (NN) circuits consume 1μW [2] and 142nW [3]. Keyword spotting (KWS) wake-up, which is more complicated than VAD, can be achieved by an NN engine at 510nW [4], but it needs an off-chip power-hungry 16b ADC to drive its digital input. For

👥 作者与机构

Zhixuan Wang1, Le Ye1,2, Ying Liu1, Peng Zhou2, Zhichao Tan3, Haitao Fan2,

Yihan Zhang1, Jiayoon Ru4, Yangyuan Wang1, Ru Huang1 Peking University, Beijing, China Advanced Institute of Information Technology of Peking University, Hangzhou, China 3 Zhejiang