1.2 nW神经形态增强唤醒无线电

Zalfa Jouni, Thomas Soupizet, Siqi Wang, A. Benlarbi-Delai, Pietro M. Ferreira
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引用次数: 2

摘要

具有超低功率无线电功能的低成本设备是智能设备的主要挑战,而智能通信需要永久打开的接收器。本文提出了一种带有神经形态预处理系统的唤醒无线电,该系统均偏置于弱反转区。该系统可以接收2.4 GHz信号,对其进行解调,并根据神经元的尖峰频率识别位模式。在1.2 nW的总功耗下获得了显著的性能,这比传统的射频包络检测器至少低三个数量级。此外,输入功率的尖峰频率响应性表明,所提出的系统可以区分2.4 GHz的不同信号。该系统的能量效率为1.2 pJ/bit,最小可检测信号为-27 dBm。
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1.2 nW Neuromorphic Enhanced Wake-Up Radio
Low-cost devices with ultra-low-power radio ca-pabilities are a major challenge in smart devices, while a permanently-on receiver is required for smart communication. This paper proposes a wake-up radio with a neuromorphic pre-processing system both biased in weak inversion region. The system can receive a 2.4 GHz signal, demodulate it, and recognize bit patterns based on the spiking frequency of a neuron. Significant performance is obtained with 1.2 nW of total power consumption, which is at least three orders of magnitude less than the conventional RF envelope detectors. Further, spiking frequency responsiveness over input power suggests that the proposed system can distinguish different signals at 2.4 GHz. The proposed system achieves an energy efficiency of 1.2 pJ/bit with a minimum detectable signal of -27 dBm.
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