The Identification of impulsive noise in HFC networks use Wavelets

AUTHOR(S):

TITLE

The Identification of impulsive noise in HFC networks use Wavelets

ABSTRACT

This paper developed a methodology for the use of wavelets for the identification of impulse noise in the frequency range of the feedback network Hybrid Fiber-Coaxial (HFC), and a method for analyzing the energy spectrum. Networks (HFC) Cable television (CATV) has been established as an important infrastructure to provide interactive content and broadband access on the World Wide Web, Internet bandwidth. HFC networks are increasingly required in the aspects of quality and ability to carry digital signals due to the availability of transmission bandwidth and coverage in your service area and leave being only networks which television channels besides the noises that interfere with services provided by the operator. The impulsive noise in the frequency range of return becomes one of the main problems faced by operators, for his interference in carriers of Cable Modems (CM), because loss of information transmitted and even unavailability of services.

KEYWORDS

HFC Networks, Impulsive Noise, Wavelets

REFERENCES

[1] Tunmann E. O., Hybrid fiber-Optic Coaxial Networks,Ed. Flatiron Publishing, 1995.

[2] Fonseca A. et al, “Serviços suportados em redes HFC,” Communication Technology, v. 1, n°1, 2010.

[3] Alencar M. S., Televisao Digital,Ed. Erica, 2012. R. Wolters, “Characteristics of upstream channel noise in CATV networks,” IEEE Transactions on Broadcasting, v. 42, n°4, pp. 328-332, 1996.

[4] Zhang L. et al, “Research of the noise characteristic on the upstream channel for HFC network,” IEEE, 2° International Conference on Signal Processing Systems, ICPS, v. 2, pp. 422-426, 2010.

[5]Jiarong H., Z. Ying, Y. Guojun, “Analysis of VOD technology and the noise in transmission channel of HFC,” IEEE Information Technology an Applictions, IFITA'09, v. 2, pp. 424-427, 2009.

[6]Robin M., Poulin M., Digital television fundamentals, 2nd ed., Ed. McGraw-Hill, 2000.

[7] Miller J., Thomas J., “The detection on signals in impulsive noise modeled as a mixture process,” IEEE Transactions on Communications, v.24, n°5, p. 559-563, 1976.

[8]Eldering C. A., Himayat N., Gardner F. M., “CATV return path characterization for reliable communications,” IEEE Communications Magazine, v.33, n° 8, pp. 62-69, 1995.

[9] Jacobsen K. S., Bingham J. A., Cioffi J. M., “Synchronizes DMT, for multipoint to point communications on HFC networks,” IEEE Global Telecommunications Conference, Globecom 95, v.2, pp. 963-966, 1995.

[10] Openheim A. V. et al, Discrete time signal processing, Ed. Prentice Hall, 1999.

[11] Tsihrintzis G. A., Nikias C. L., “Performance of optimum and suboptimum receivers in the presence of impulsive noise modeled as an alphastable process,” IEEE Transactions on Communications, v.43, n° 234, pp. 904-914, 1995.

[12] Fausto S., “Utilização de Wavelets para identificação do ruído impulsivo na faixa de frequência de retorno em redes HFC”, Master's Dissertation, 2014.

[13] Morettin, P. A. Ondas e Ondaletas: da Análise de Fourier à Análise de Ondaletas, Edusp, 1999.

[14]Malvar, H. S.; Staelin, D. H. The lot: Transform coding without blocking effects. Acoustics, Speech and Signal Processing, IEEE Transactions, v.37, n°4, pp. 553-559, 1989.

[15]Meyer, Y. Wavelets-algorithms and applications. Wavelets-Algorithms and applications Society for Industrial and Applied Mathematics Translation,1993.

[16]Daubechies, I. Orthonormal bases of compactly supported wavelets. Communications on pure and applied mathematics, 1988. Wiley Online Library, v.41, n°7, pp. 909-996, 1988.

[17] Daubechies, I. The wavelet transform, time-frequency localization and signal analysis. Information Theory, IEEE Transactions, v.36, n°5, pp. 961- 1005, 1990.

[18]Oliveira, H. de; Falk, T.; Távora, R. Decomposição de wavelets sobre corpos finitos. Rev. da Soc. Bras. de Telecomunicações, pp. 38-47, 2002.

[19]Oliveira, H. M. ; Soares, L. R.; Falk, T. H. A family of wavelets and a new orthogonal multiresolution analysis based on the Nyquist criterion. Revista da Sociedade Brasileira de Telecomunicações, 2003.

[20]Degardin, V. et al. Classification and characterization of impulsive noise on indoor powerline used for data communications. Consumer Electronics, IEEE Transactions v.48, n°4, pp. 913-918, 2002.

[21]Jacobsen, K. S.; Bingham, J. A.; Cioffi, J. M. Synchronized dmt for multipoint-to-point communications on HFC networks. IEEE. Global Telecommunications Conference, 1995.

[22]Wolters, R., Characteristics of upstream channel noise in CATVNetworks. Broadcasting, IEEE Transactions, v. 42, n°4, pp. 328-332, 1996.

[23]Zhang, L. et al. Research of the noise characteristic on the upstream channel for HFC Network. In: IEEE. Signal Processing Systems (ICSPS),2nd International Conference, 2010.

[24]Liang, J.; Elangovan, S.; Devotta, J. A wavelet multiresolution analysis approach to fault detection and classification in transmission lines. International Journal of Electrical Power & Energy Systems, Elsevier, v. 20, n°5, pp. 327-332, 1998.

[25]Palm, W., Introduction to Matlab 7 and Simulink for Engineers, McGraw- Hill, pp. 55-97, 2003.

Cite this paper

Suzene Fausto, Aldo Artur Belardi. (2017) The Identification of impulsive noise in HFC networks use Wavelets. International Journal of Control Systems and Robotics, 2, 187-194