Chaotic Wireless Communication Systems Using Combination of LMS and RLS Adaptive Equalizer

Subject Areas : Majlesi Journal of Telecommunication Devices

Behnam Kojouri ¹ (Sadjad Institute for Higher Education)
Ammar Hasanvand ² (Sadjad Institute for Higher Education)
Vahid Asadpour ³ (Sadjad Institute for Higher Education)

Received: 2013-07-26 Accepted : 2013-07-26 Published : 2013-09-01

Keywords: en,

Abstract :

In recent years, a variety of communications systems based on chaos and nonlinear dynamics have been proposed. However, most of these algorithms not working under realistic channel conditions. This paper presents a channel equalization scheme for chaotic communication systems based on a Logistic Chaos map. The dynamic representation of Logistic map is exploited to allow a straightforward and efficient implementation. Equalizer filter coefficients are updated using a new combination of RLS and LMS by partitioned the main frame of data into subsequent frames, the first frame which include the training sequence is fed to RLS for better convergence speed, however switch to LMS for low complexity.

References:

[1] Mahmut Cifrci, and Douglas B. Williams, “A NOVEL CHANNEL EQUALIZER FOR CHAOTIC DIGITAL COMMUNICATIONS SYSTEMS, ” IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 3, pp. 1301-1304, 1999.

[2] Yuu-Seng Lau, “Techniques in Secure Chaos Communication,” A PhD Thesis, University of RMIT, Melbourne, February 2006.

[3] Mahmood Farhan Mosleh, and Aseel Hameed AL-Nakkash, “Combination of LMS and RLS Adaptive Equalizer for Selective Fading Channel,” European Journal of Scientific Research, 2010.

[4] K. M. Cuomo, A. V. Oppenheim, and R. J. Barron, “Channel equalization for self-synchronizing chaotic systems,” Proceedings of International Conference on Acoustics, Speech, and Signal Processing, 1996.

[5] H. Leung, “System identification using chaos with application to equalization of a chaotic modulation system,” IEEE Transactions on Circuits and Systems-I: Fundamental Theory and Applications, vol.45, no. 3, pp. 314-320, 1998.

[6] Mahmut Ciftci, and Douglas B. Williams, “Iterative Equalization For Chaotic Communications Systems,” IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. 4, pp. iv/165 - iv/168, March 2005

[7] H.-B. Ghobad and C. D. McGillem, “A chaotic direct-sequence spread- specturm communication system,” IEEE Trans. Communications, vol. 42, no. 234, pp. 1524- 1527, Feb/Mar/Apr. 1994.

[8] H.-B. Ghobad and C. D. McGillem, “Chaotic sequences for spread spec trum: an alternative to PN-sequences,” in Proc ICWC, pp. 437-440, Jun. 1992.

[9] S. Haykin, Adaptive Filter Theory, Prentice Hall, 1986.