Didactic Strategies for the Understanding of the Kalman Filter in Industrial Instrumentation Systems

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  • Author(s): Flórez C., Oscar D. (ORCID Flórez C., Oscar D. (ORCID 0000-0002-0653-0577); Camargo L., Julián R. (ORCID Camargo L., Julián R. (ORCID 0000-0003-3483-1884); Hurtado, Orlando García (ORCID Hurtado, Orlando García (ORCID 0000-0002-4155-4515)
  • Language:
    English
  • Source:
    Journal of Language and Linguistic Studies. 2022 18(4):1135-1142.
  • Publication Date:
    2022
  • Document Type:
    Journal Articles
    Reports - Descriptive
  • Additional Information
    • Availability:
      Journal of Language and Linguistic Studies. Hacettepe Universitesi, Egitim Fakultesi B Blok, Yabanci Diller Egitimi Bolumu, Ingiliz Dili Egitimi Anabilim Dali, Ankara 06800, Turkey. e-mail: [email protected]; Web site: http://www.jlls.org
    • Peer Reviewed:
      Y
    • Physical Description:
      8
    • Descriptors:
      Measurement
      Accuracy
      Simulation
      Computer Software
      Acoustics
      Problem Solving
      Artificial Intelligence
      Algorithms
      Visual Aids
      Information Technology
      Engineering
      Mathematical Models
      Statistical Analysis
      Equations (Mathematics)
      Electronic Equipment
    • ISSN:
      1305-578X
    • Abstract:
      This paper presents an application of the Kalman filter in signal processing in instrumentation systems when the conditions of the environment generate a large amount of interference for the acquisition of signals from measurement systems. The unwanted interferences make important use of the instrumentation system resources and do not represent useful information under any aspect. A simulation is presented using the Matlab tool, which remarkably facilitates the information processing so that the corresponding actions are taken according to the information obtained, taking advantage of the current resources offered by the embedded systems and the required measurements are obtained with enough accuracy.
    • Abstract:
      As Provided
    • Publication Date:
      2023
    • Accession Number:
      EJ1379587