Flexible and Self-Adaptive Sense-and-Compress for Sub-MicroWatt Always-on Sensory Recording

Flexible and Self-Adaptive Sense-and-Compress for Sub-MicroWatt Always-on Sensory Recording
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灵活、自适应的感知和压缩,用于亚微瓦始终在线的感知记录

DOI:
10.1109/esscirc.2018.8494270
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发表时间:
2018
期刊:
ESSCIRC 2018 - IEEE 44th European Solid State Circuits Conference (ESSCIRC)
影响因子:
--
通讯作者:
M. Verhelst
M. Verhelst
中科院分区:
--
文献类型:
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作者:
Jaro De Roose;Haoming Xin;M. Andraud;P. Harpe;M. Verhelst

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用于物联网应用的小型化传感系统会因其无线链路和/或嵌入式存储系统而承受严重的功率负担。压缩感测技术以存储和传输之前的数据压缩为目标,以节省功率,同时最小化信息损失。本文提出了一种自适应传感压缩系统,该系统在连续记录和压缩带宽高达5 kHz的信号时,仅消耗45- 884 mW。灵活的系统使用离线进化算法和在线自适应的组合,以不断适应传入的传感器数据统计和当前的应用质量要求。0.27mm2传感和压缩接口集成在65 nm CMOS技术中,与板载温度传感器一起,或可以与任何外部传感器接口。此外,可扩展的自适应系统还针对低功耗和低泄漏进行了大量优化,从而形成了一个小型、高效而灵活的接口,允许始终在线的感官监测,同时与当前最先进的技术相比,功耗降低了2.5倍。
Miniaturized sensory systems for IoT applications experience a severe power burden from their wireless link and/or embedded storage system. Compressive sensing techniques target data compression before storage and transmission to save power, while minimizing information loss. This work proposes a self-adaptive sense-and-compress system, which consumes only 45-884n W while continuously recording and compressing signals with a bandwidth up to 5kHz. The flexible system uses a combination of off-line Evolutionary Algorithms, and on-line self-adaptivity to constantly adapt to the incoming sensory data statistics, and the current application quality requirements. The 0.27mm2 sense-and-compress interface is integrated in a 65nm CMOS technology, together with an on-board temperature sensor, or can interface with any external sensor. The scalable, self-adaptive system is moreover heavily optimized for low-power and low-leakage, resulting in a tiny, efficient, yet flexible interface allowing always-on sensory monitoring, while consuming 2.5X less power compared to the current State-of-the-Art.