A 3.3 V, 8.89 μa and 5.5 ppm/°C CMOS bandgap voltage reference for power telemetry in retinal prosthesis systems

Ruhaifi Abdullah Zawawi, Jae Kun Kim, Jong Bum Park, Seong Woo Kim, Asrulnizam Abd Manaf, Jungsuk Kim

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    A 3.3 V CMOS bandgap reference (BGR) was presented in this study that utilizes MOS transistors operating in the sub-threshold region. The complexity of the circuit and the dependency of the voltage reference on power supply variations are simultaneously decreased through the use of a new compensation circuit technique. The proposed BGR is simulated using a 0.35 μm CMOS standard process. Consequently, a 5.53 ppm/°C temperature coefficient is obtained in the -40∼+125 °C temperature range, the maximum power supply rejection ratio is - 62 dB, and a 2.033 mV/V voltage line regulation is achieved for the 2.3∼ 4.3 V supply voltage. The proposed circuit dissipates a supply current of 8.89 IJA at a 3.3 V supply voltage, and the active area is 112 μm× 60 μm.

    Original languageEnglish
    Title of host publication40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages2977-2980
    Number of pages4
    ISBN (Electronic)9781538636466
    DOIs
    Publication statusPublished - 2018 Oct 26
    Event40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States
    Duration: 2018 Jul 182018 Jul 21

    Publication series

    NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    Volume2018-July
    ISSN (Print)1557-170X

    Other

    Other40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
    Country/TerritoryUnited States
    CityHonolulu
    Period18/7/1818/7/21

    ASJC Scopus subject areas

    • Signal Processing
    • Biomedical Engineering
    • Computer Vision and Pattern Recognition
    • Health Informatics

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