Study of Noise in CID Array Systems.

Abstract

A detailed description of CID image sensing and the various readout techniques is given. The results of theoretical and experimental studies of temporal and fixed pattern noise that affects CID imager performance are presented. The effects of feedback on amplifier noise charge are derived. A short study on the low frequency noise of buried channel MOSFETs has also been performed. The use of multiple non-destructive readout operations and off-chip signal summation has been used to demonstrate more than a factor of 10 improvement in signal-to-noise ratio. No intrinsic limitation on the dynamic range improvement that can be obtained with this technique has been identified. External limitations such as the time available for readout have prevailed to date. Standard CID imager noise levels have been evaluated. The dynamic range measured varied between 500-to-1 for the TV compatible Pre-injection readout technique to over 30,000-to-1 for a cooled Row Readout array operating at low video rates. Uncorrected signal-to-RMS fixed pattern noise ranged from 30-to-1 for Row Readout 1000-to-1 for Sequential Injection readout. Fixed pattern noise was suppressed to below 1 part in 30,000 with off-chip cancellation circuitry. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1978
Accession Number
ADA063846

Entities

People

  • G. J. Michon
  • H. K. Burke
  • Ke Wang
  • T. L. Vogelsong

Organizations

  • General Electric

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Air Force
  • Charge Coupled Devices
  • Charge Transfer
  • Computer Science
  • Computers
  • Electrical Engineering
  • Electronics
  • Electronics Laboratories
  • Fabrication
  • Field Effect Transistors
  • Integrated Circuits
  • Modules (Electronics)
  • Semiconductor Devices
  • Semiconductors
  • Signal Processing
  • Transistor Amplifiers
  • Transistors

Fields of Study

  • Physics

Readers

  • Acoustics.
  • Image Processing and Computer Vision.
  • Integrated Circuit Design and Technology.