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Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29210

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Reduction of Impulsive Noise in OFDM System Using Adaptive Algorithm
The Orthogonal Frequency Division Multiplexing (OFDM) with high data rate, high spectral efficiency and its ability to mitigate the effects of multipath makes them most suitable in wireless application. Impulsive noise distorts the OFDM transmission and therefore methods must be investigated to suppress this noise. In this paper, a State Space Recursive Least Square (SSRLS) algorithm based adaptive impulsive noise suppressor for OFDM communication system is proposed. And a comparison with another adaptive algorithm is conducted. The state space model-dependent recursive parameters of proposed scheme enables to achieve steady state mean squared error (MSE), low bit error rate (BER), and faster convergence than that of some of existing algorithm.
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[1] Wen Zhou, B. Xie, S. Jun-de, “Link level simulation and performance estimation of WIMAX IEEE 802.16e”, in 2nd Int. Conf. Pervasive Computing and Applications, pp.667– 671, 2007.
[2] S. V. Vaseghi, “Advanced Digital signal processing and noise reduction,” 4th ed. John Wiley & Sons Ltd, 2000, pp.355.
[3] Z H. A. Suraweera, C. Chai, J. Shentu, J. Armstrong, “Analysis of Impulse Noise Mitigation Techniques for Digital Television Systems”, in Proc. 8th Int. OFDM workshop, 2003, pp.172-176.
[4] Sergey, et al, “Analysis and Comparison of Several Simple Impulsive Noise Mitigation Schemes for OFDM Receivers”, IEEE Trans. Communications, vol. 56, ED-1, pp.5-9, 2008.
[5] A. Mengi and A. J. H. Vinck, “Successive Impulsive Noise Suppression in OFDM,” IEEE. Int. symp. Power line communications and its Applications, pp. 33-37, 2010.
[6] T. Hirakawa et al, “Improving Influence of Impulse Noise to OFDM Signal by Recovering Time Domain Samples,” 14th Int. Conf. computers in Education, 2006, pp.327-328.
[7] T. Umatani, K. Ohno and M. Itami, “A study on scheme of reducing influence of impulse noise in OFDM under multi-path channel”,
[Dig. Tech. papers Int. Conf. Consumer Electronics, 2010, pp.119-120].
[8] Takuya Kitamura, Kohei Ohno and Makoto Itami, “Impulsive noise reduction using it`s replica signal under class-A impulsive channel,” 15th Int. symp. wireless personal multimedia communications, 2012, pp.463-467.
[9] S. Mathew, et al, “Periodic Impulsive Noise Reduction in OFDM based Power line Communication”, Int. J., Research in Engineering and Technology, vol.3,pp. 517 – 522, 2014.
[10] A. Hakam, N. A. Aly, M. Khalid, S. A. Jimaa, S. R. Al-Araji, “Impulsive Noise Reduction in MIMO-OFDM Systems using Adaptive Receiver Structures”, 11th Int. Conf. Signal Processing, Abu Dhabi, UAE, 2012.
[11] A. Mirza, S. M. Kabir, S. Ayub, M. Arsalan, S. A. Amin, “Impulsive Noise Cancellation of ECG signal based on SSRLS,” Int. Conf. Soft Computing and Software Engineering, 2015, USA.
[12] A. Mirza, S. M. Kabir, S. A. Amin, “Enhanced Impulsive Noise Cancellation based on SSRLS”, 2nd Int. Conf. Computer, Communication, and Control Tech., kuching, Sarawak, Malaysia, 2015, April 21-23.
[13] S. M Kabir, A. Mirza, S. A. Amin,” Impulsive Noise Reduction Method based on Clipping and Adaptive Filters in AWGN Channel,” 5th Int. Conf. Computer Communication and Management, 18-19 May, 2015, Rome, Italy.
[14] Bhagyashri B. Sawant* and Dr. S. M. Deokar, “Adaptive Filter for Removal of Impulsive Noise and Its Comparison with LMS Algorithm,” Int. Conf. Industrial Automation and Computing, 2014, pp.12-14.
[15] M. B. Malik, “State-space recursive least-squares: part I & II”, Signal Processing J., vol. 84, pp. 1709 – 1728, 2004.
[16] P. Torio, M.G Sanchez, and I. Cuinas, "An algorithm to simulate impulsive noise,”19th Int. Conf. Software, Telecommunications and Computer Networks, 2011, pp.1-4.
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