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.

Authors:

• Alina Mirza
• Sumrin M. Kabir
• Shahzad A. Sheikh

Keywords:

• OFDM
• Impulsive Noise
• SSRLS
• BER.

References:

[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.