A component-based sigma-quality improvement model for effective signal detection in communication networks
DOI:
https://doi.org/10.47941/jts.499Keywords:
Signal, Noise, Detection, Sigma-quality algorithm, Communication networksAbstract
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
Downloads
References
Adewuyi, O.S., Lawal, W., and Ogunti, E.O. (2013). Performance Analysis of OFDM in Combating Multipath Fading. IOSR Journal of Electronics and Communication Engineering (IOSR-JECE), 6 (2) 99-107
Arshed, A., Muhammad, S., Noor, G., Irfan, U., Su, M. and Junsu, K. (2020). A comparative Analysis of Different Outlier Detection Techniques in Cognitive Radio Networks with Malicious Users. Hindawi Journal of Wireless Communications and Mobile Computing Volume 2020, Article ID 8832191, https//:doc.org.ng/10.1155/20208832191.
Broumandan, A. (2009). Enhanced narrowband signal detection and estimation with a synthetic antenna array for location applications (Doctoral dissertation, University of Calgary, Department of Geomatics Engineering).
Chaouech, H. and Bouallegue, R. (2012). Multiuser Detection in Asynchronous Multibeam Communications. Inter. Journal of Wireless & Mobile Networks (IJWMN) 4 (1) 21-34
Dece, K.M. (2012). Novel Mobile Detector Sensing Alarming and Reporting System. ARPN Journal of Science and Technology, 2 (1) 12-14
Gordon, G. (1992). System Simulation, Prentice-Hall, New Delhi.
Hadi-Vencheh, A. and Yousefi, A. (2018). Sigma Project: a comparative study of DEA and LDA techniques, International Journal of Lean Six Sigma, ISSN 20404166
Kaemarungsi K. and Krishnamurthy P. (2004): Modeling of Indoor Positioning Systems Based on Location Fingerprinting. In Proceedings IEEE INFOCOM 2004. 3-4 November.
Kailath, T. and Poors, H.V. (1998). Detection of Stochastic Processes. IEEE Transactions on Information Theory, 44 (6) 2230-2259
Kareem, B. (2015). Evaluation of Failures in Mechanical Crankshafts of Automobile based on Expert Opinion, Case Study in Engineering Failure Analysis, 3(1) 25-33
Kay, S.M. (1993). Fundamental of Statistical Signal Processing- Estimation Theory, Prentice Hall, New Jersey
Kay, S.M. (1998). Fundamental of Statistical Signal Processing-Detection Theory, Prentice Hall, New Jersey
Kundu, D (2000). Estimating the Number of Signals In The Presence of White Noise. Journal of Statistical Planning and Inference. 90 (1) 57- 68
Lau, Y. W (2008). Noise in Accounting Information. The Signal Detection Theory Perspective. Int. Journal of Economics and Management 2(1). 179 - 193
Lawal, W (2012). Development of Unauthorized Cell-Phone Usage Sniffing System. A Thesis Submitted to the School of Postgraduate Studies in Partial Fulfillment of the Requirements for the Degree of Master's in Engineering in Electrical and Electronics Engineering, the Federal University of Technology, Akure, Nigeria, December 2012
Lawal, W. and Ogunti, E.O (2012). An Evaluation of Mobile Phone usage Restriction in Selected Public Places in Akure, Nigeria. Book of Proceedings, 4th International Conference on Engineering research and Development (ICERD 2012), University of Benin, Benin City, Nigeria.
Lawal, W., Adewuyi, S. O., and Ogunti E.O (2014). Effect of Cyclic Prefix on OFDM over AWGN Channel. International Journal of Innovative Research in Advanced Engineering (IJIRAE), 1 (9) 185-191
Lawal, W., Akinrinmade, A.F., and Ijarotimi, S. O (2013). Effects of Unrestricted Mobile phone Usage in Selected Public Places in Nigeria. A Case Study of Akure. International Journal of Science and Research (IJSR), 2 (5) 224-228
Lawal, W., Oluwajobi, F.I .and Ogunti E.O (2014). Development of Unauthorized Cell-phone Usage Sniffing System using Embedded System. Proceedings of the International Conference on Advances in Computing, Electronics and Electrical technology- CEET 2014, pp. 208-212.
Mantoro T., Olowolayemo, A., Olatunji, S. O, Bahru, J., Ayu, M. A. and Osman, A. (2011): Extreme learning machine for user location prediction in mobile environment Tap International Journal of Pervasive Computing and Communications 7(2), pp.162-180 Emerald Group Publishing Limited 1742-7371 DOI 10.1108/17427371111146446
Mantoro, T. and Olowolayemo, A. (2009): Mobile user location prediction enabled services in Ubiquitous computing: determining user location using MFN algorithm", Proceedings of the 11th International Conference on Information Integration and Web-based Applications and Services , Kuala Lumpur, Malaysia, 14-16 December.
Nicholas, W.S (2011). Study of Cellular Phone Detection Techniques, M.Sc. Dessertation, Computer and electronics Engineering, Department of Dissertations & Student Research in Computer Electronics & Engineering, University of Nebraska-Lincoln.
Nonthaleerak, P. and Hendry, L.C. (2006) Six Sigma: Literature Review and Key Future Research Areas, International Journal Six Sigma and Competitive Advantage Vol.2, No.2, pp 105-161.
O'shea, T.J., Clancy, T.C., and Ebeid, H.J (2014). Practical Signal Detection and Classification in Gnu Radio. Research Conducted at Laboratory for Communication Sciences, US Department of Defense.
Pastor, D. and Socheleau, F.X (2012). Algorithms Based On Sparsity Hypotheses For Robust Estimation of the Noise Standard Deviation in Presence of Signals with Unknown Distributions and Occurrences. Collection des rapports de recherch de Telecom Bretagne, RR-2010001-SC, hal-00703291, version 1-1 June 2012, Telecom Bretagne, France.
Pyzdek, T. (2003). The Six Sigma Handbook, McGraw-Hill, New York,
Saberali, S.M. and Amindavar, H (2007). Spread Spectrum Signal Detection in Overlay Systems Using Maximum Entropy PDF Estimation Based on Fractional Moments, IEEE ICASSP 2007, III, pp. 1269-1272
Shevlyakov, G. and Kim, K (2006). Robust Minimax Detection of a Weak Signal in Noise with a Bounded Variance and Density Value at The Center Of Symmetry. IEEE Transactions on Information Theory, 52 (3) 1206- 1211
Six Sigma (2015). Operational Excellence consulting, www.oeconsulting.com.sg. Accessed 11.12.
Tandra, R (2005). Fundamental Limits on Detection in Low SNR. A Thesis Submitted in Partial Satisfaction of the Requirements for the Degree of Master of Science in Engineering, Electrical Engineering and Computer Sciences in the Graduate Division of the University of California, Berkeley, Spring.
Tsai, C.Y., Chou, S. Y. Lin, S. W. and Wang, W. H. (2009): Location Determination of Mobile Device for Indoor WLAN Application using Neural Networks. In Journal for Knowledge and Information Systems, Springer London.
Turner, B.M (2009). Signal Detection Theory. A Proposal for a Nonparametric Model. A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Arts in the Graduate School of the Ohio State University.
Van Trees, H.L (2001). Detection, Estimation, and Modulation Theory, Part I. Detection, Estimation, and Linear Modulation Theory. pp. 19-86. John Wiley & Sons, Inc.
Vaseghi, S.V., and Rayner, P.J.W (1990). Detection and Suppression of Impulsive Noise in Speech Communication Systems. IEE Proceedings, 137 (1) 38-46
Veseghi, S.V (2000). Advanced Digital Signal Processing and Noise Reduction, Second Edition, pp. 356- 377. John Wiley & Sons Ltd.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 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
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
