• DocumentCode
    1361871
  • Title

    Digital signal processing techniques for high accuracy ultrasonic range measurements

  • Author

    Parrilla, M. ; Anaya, J.J. ; Fritsch, C.

  • Author_Institution
    Inst. de Autom. Ind., Madrid, Spain
  • Volume
    40
  • Issue
    4
  • fYear
    1991
  • fDate
    8/1/1991 12:00:00 AM
  • Firstpage
    759
  • Lastpage
    763
  • Abstract
    Several digital signal processing (DSP) methods are analyzed and compared with respect to the expected errors for an ultrasonic range measurement arrangement. These include L1, L2 norms and correlation with different approaches for envelope extraction. The influence of different factors such as signal-to-noise ratio (SNR), sampling frequency, and digitizing resolution on measurement errors is analyzed using a synthetic approach through nearly 40000 simulations. Results show different performance levels involving accuracy, computing time, and cost for the studied methods, although all of them allow reduction of errors by several orders of magnitude
  • Keywords
    computerised signal processing; digital simulation; distance measurement; measurement errors; sonar; ultrasonic measurement; accuracy; computing time; cost; digital signal processing; digitizing resolution; envelope extraction; measurement errors; pulse echo; sampling frequency; signal-to-noise ratio; ultrasonic range measurements; Computational modeling; Digital signal processing; Error analysis; Frequency; Measurement errors; Sampling methods; Signal analysis; Signal resolution; Signal to noise ratio; Ultrasonic variables measurement;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/19.85348
  • Filename
    85348