Low-power Bandgap Reference with Soft Startup for Energy Scavenging Applications

研究成果: Conference contribution

抄録

Band-gap reference (BGR) is one of the important and indispensable analog circuits in integrated circuits. The design of BGR has been widely known. In most cases, the power supply voltage is assumed to be a constant value with a variation of ±10%. However, in the case of energy scavenging, the input voltage, which will be converted to the power supply voltage, varies in a wide range. Linear regulator such as Low Drop-Out Regulator (LDO) is used to produce the power supply inside the chip, however, the BGR cannot use LDO output as it power supply voltage since LDO uses BGR output as its reference voltage. In near field communication (NFC) systems, the input voltage varies with the distance between the reader and device. This work assumes the implementation of BGR in an NFC system where the supply voltage of BGR varies from OV to 5\mathrm{V}. A BGR start-up mechanism for a wide input voltage range is proposed. The proposed start-up mechanism is implemented in 0.18um CMOS process and verified using Spectre simulation. The proposed BGR operates at 1.355.5V input voltage range. The temperature coefficient at a 1.7-V input voltage and a temperature range from -25 to 80°C is 21ppm/°C.

本文言語English
ホスト出版物のタイトルProceedings - 2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728130385
DOI
出版ステータスPublished - 2019 12
イベント2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019 - Taipei, Taiwan, Province of China
継続期間: 2019 12 32019 12 6

出版物シリーズ

名前Proceedings - 2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019

Conference

Conference2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019
国/地域Taiwan, Province of China
CityTaipei
Period19/12/319/12/6

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • 信号処理
  • コンピュータ ネットワークおよび通信

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