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Mismatch reduction for dark current suppression

  • University of Maryland, College Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this paper we present a dark current suppression technique for low-light image sensor arrays fabricated in a standard CMOS process. It has been shown that reducing the reverse bias of a p-n junction minimizes the thermally generated dark current and increases the signal to noise ratio. While this work well for single sensors, arrays of sensors suffer from mismatch, which limits the ability to apply a consistent junction bias. In this work we show simulation results for a floating gate mismatch compensation technique which reduces this biasing mismatch. While simulations of an idealized structure provided a 40X reduction in mismatch compensation, a worst-case simulation provided only a 6X reduction in mismatch. For the idealized simulation, the standard deviation of the input-referred mismatch was reduced from 7.7 mV to 196 μV, while in the worst case simulation the standard deviation of the input-referred mismatch was reduced to 1.4 mV, corresponding to an approximate dark current reduction of 10X and 5X respectively.

Original languageEnglish
Title of host publicationIEEE Sensors 2010 Conference, SENSORS 2010
Pages1696-1700
Number of pages5
DOIs
StatePublished - 2010
Event9th IEEE Sensors Conference 2010, SENSORS 2010 - Waikoloa, HI, United States
Duration: Nov 1 2010Nov 4 2010

Publication series

NameProceedings of IEEE Sensors

Conference

Conference9th IEEE Sensors Conference 2010, SENSORS 2010
Country/TerritoryUnited States
CityWaikoloa, HI
Period11/1/1011/4/10

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