• DocumentCode
    1543343
  • Title

    The effect of redundancy on measurement

  • Author

    Collins, Oliver M. ; Vasudev, N.

  • Author_Institution
    Dept. of Electr. Eng., Notre Dame Univ., IN, USA
  • Volume
    47
  • Issue
    7
  • fYear
    2001
  • fDate
    11/1/2001 12:00:00 AM
  • Firstpage
    3090
  • Lastpage
    3096
  • Abstract
    This article demonstrates that increasing the number of measurements made on a system beyond the minimum (i.e., the number of degrees of freedom in the system) can reduce the effect of measurement errors. The article shows, for three broad classes of measurement problems, that, as the measurement redundancy increases, the residual error falls to a small constant value. Twice the number of degrees of freedom will allow performance very close to the ultimate limits. The article presents one example within each class; however, a vast number of other measurement problems have a formulation identical to one of these three. The first example is the calibration of a resistive voltage divider consisting of a number of nominally equal resistors in series. The second is the determination of the complex response of a filter whose output can be observed only through a power detector. The third is the calibration of a resistive current combiner or current mode digital-to-analog converter (DAC). The basic ideas in the article are general and extensions to other measurement problems outside of the three categories should be straightforward, although the details of the solution will be problem dependent
  • Keywords
    calibration; digital-analogue conversion; filters; measurement errors; voltage dividers; DAC; calibration; complex measurements; complex response; current mode digital-to-analog converter; degrees of freedom; filter response; measurement errors; measurement problems; measurement redundancy; power detector; residual error; resistive current combiner; resistive voltage divider; scalar additive measurement; scalar difference measurements; Calibration; Constraint theory; Costs; Data compression; Filters; Linearity; Measurement errors; Redundancy; Signal processing; Voltage;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.959292
  • Filename
    959292