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

Dr Wasiu. Lawal (), Dr E.O. Ogunti (), Dr W.O. Apena (), Dr B. Kareem (), Dr S. O. Olatunji (), Dr W. O. Oluyombo () and Dr T. Ewetumo ()

Journal of Technology and Systems, 2020, vol. 2, issue 1, 1 - 24

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

Keywords: Signal; Noise; Detection; Sigma-quality algorithm; Communication networks (search for similar items in EconPapers)
Date: 2020
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