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A component-based sigma-quality improvement model for effective signal detection in communication networks

Author

Listed:
  • Dr Wasiu. Lawal
  • Dr E.O. Ogunti
  • Dr W.O. Apena
  • Dr B. Kareem
  • Dr S. O. Olatunji
  • Dr W. O. Oluyombo
  • Dr T. Ewetumo

Abstract

Purpose: There are many algorithms and models that are successfully utilized in controlling noises and preventing signal fading in communication networks. Signal strength enhancement studies that utilize component-based quality improvement algorithm are not common.Methodology: A signal detection algorithm was developed using the component-based sigma quality improvement flow system. The algorithm was implemented on MATLAB computer programming software.Findings: The algorithm/model was capable of filtering out noises and optimizing RF-signal detection in communication networks. The signal detection results showed super-improved signal Energy to Noise Ratio (ENR) on the balanced probability basis.Unique contribution to theory, practice and policy: Introduction of component-based sigma quality improvement algorithm is an added advantage over the traditional techniques thereby enhancing further fading reduction in communication networks

Suggested Citation

  • Dr Wasiu. Lawal & Dr E.O. Ogunti & Dr W.O. Apena & Dr B. Kareem & Dr S. O. Olatunji & Dr W. O. Oluyombo & Dr T. Ewetumo, 2020. "A component-based sigma-quality improvement model for effective signal detection in communication networks," Journal of Technology and Systems, CARI Journals Limited, vol. 2(1), pages 1-24.
    • Handle: RePEc:bhx:ojtjts:v:2:y:2020:i:1:p:1-24:id:499
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