Chaos-based multi-user time division multiplexing communication system

A chaos-based multi-user time division multiplexing (TDM) communication system has been proposed and its benchmark performance compared to that of the chaos-based direct sequence code division multiple access (DS-CDMA) system in the noisy and Rayleigh fading channels. The benchmark performance of the systems is investigated in terms of the bit error rate (BER) under the assumption of perfect synchronisation. The chaotic spreading signals, used to encrypt the binary messages, are generated using the logistic map. The degradation in performance of the systems in the Rayleigh fading channel when compared with the noisy channel is demonstrated. Furthermore, it is shown that in both noisy and Rayleigh fading channels, the chaos-based multi-user TDM system outperforms the chaos-based DS-CDMA system for a large number of users in the system, whereas the chaos-based DS-CDMA system yields better performance for low user numbers. The overall BER performance degradation for the chaos-based DS-CDMA multi-user system in noisy and Rayleigh fading channels is characterised by the flattening of the BER curves at low levels of noise due to the prevailing effects of the interuser interferences.

[1]  Carroll,et al.  Synchronization in chaotic systems. , 1990, Physical review letters.

[2]  Stevan M. Berber,et al.  A robust sequence synchronization unit for multi-user DS-CDMA chaos-based communication systems , 2007, Signal Process..

[3]  A. Giger,et al.  Effects of Multipath Propagation on Digital Radio , 1981, IEEE Trans. Commun..

[4]  J.I. Smith,et al.  A computer generated multipath fading simulation for mobile radio , 1975, IEEE Transactions on Vehicular Technology.

[5]  Riccardo Rovatti,et al.  Chaotic complex spreading sequences for asynchronous DS-CDMA. I. System modeling and results , 1997 .

[6]  Christoph F. Mecklenbräuker,et al.  Iterative CDMA Multiuser Receiver With Soft Decision-Directed Channel Estimation , 2006, IEEE Transactions on Signal Processing.

[7]  Makoto Itoh,et al.  SPREAD SPECTRUM COMMUNICATION VIA CHAOS , 1999 .

[8]  Luxi Yang,et al.  TDMA Secure Communication Scheme Based on Synchronization of Chua's Circuits , 2000, J. Circuits Syst. Comput..

[9]  Leonard E. Miller,et al.  NASA systems engineering handbook , 1995 .

[10]  Clare D. McGillem,et al.  A chaotic direct-sequence spread-spectrum communication system , 1994, IEEE Trans. Commun..

[11]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[12]  R.M. Gray,et al.  Communication systems: An introduction to signals and noise in electrical communication , 1976, Proceedings of the IEEE.

[13]  Leon O. Chua,et al.  Experimental Demonstration of Secure Communications via Chaotic Synchronization , 1992, Chua's Circuit.

[14]  Alan V. Oppenheim,et al.  Circuit implementation of synchronized chaos with applications to communications. , 1993, Physical review letters.

[15]  Gianluca Mazzini,et al.  Interference in DS-CDMA systems with exponentially vanishing autocorrelations: chaos-based spreading is optimal , 1998 .

[16]  D. W. Jordan,et al.  Mathematical Techniques: An Introduction for the Engineering, Physical, and Mathematical Sciences , 1994 .

[17]  W. M. Tam,et al.  Chaos-based digital communication systems , 2003 .

[18]  L. O. Chua,et al.  Multiplexing techniques via chaos , 1997, Proceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97.

[19]  Louis M. Pecora,et al.  Using multiple attractor chaotic systems for communication. , 1999 .

[20]  Harald Haas,et al.  A dynamic channel assignment algorithm for a hybrid TDMA/CDMA-TDD interface using the novel TS-opposing technique , 2001, IEEE J. Sel. Areas Commun..

[21]  C. K. Michael Tse,et al.  Exact analytical bit error rates for multiple access chaos-based communication systems , 2004, IEEE Transactions on Circuits and Systems II: Express Briefs.

[22]  W. Schwarz,et al.  Multiplex communication scheme based on synchronization via multiplex pulse-trains , 1998, ISCAS '98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No.98CH36187).

[23]  G. A. Arredondo,et al.  A multipath fading simulator for mobile radio , 1973 .

[24]  Leon O. Chua,et al.  Transmission of Digital signals by Chaotic Synchronization , 1992, Chua's Circuit.

[25]  P. Mohana Shankar,et al.  Simulation of flat fading using MATLAB for classroom instruction , 2002, IEEE Trans. Educ..

[26]  Gregory W. Wornell,et al.  Signal processing in the context of chaotic signals , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[27]  Luxi Yang,et al.  A robust chaotic digital secure communication scheme , 1999, 1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 1999). Conference Proceedings (Cat. No.99CH36368).

[28]  Stevan M. Berber,et al.  A novel mathematical analysis for predicting master-slave synchronization for the simplest quadratic chaotic flow and ueda chaotic system with application to communications , 2006 .

[29]  Xing Peng-bo.  TIME DIVISION MULTIPLEXING SIGNALS TRANSMISSION VIA INTERMITTENTLY COUPLED, SYNCHRONIZED CHAOTIC SYSTEM , 2000 .

[30]  Henry Leung,et al.  Quasi-orthogonal chaotic CDMA multi-user detection using optimal chaos synchronization , 2005, IEEE Transactions on Circuits and Systems II: Express Briefs.

[31]  U. Parlitz,et al.  Robust communication based on chaotic spreading sequences , 1994 .

[32]  Simon Haykin,et al.  Communication Systems , 1978 .

[33]  Lakshmanan,et al.  Transmission of signals by synchronization in a chaotic Van der Pol-Duffing oscillator. , 1993, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[34]  Chang-song Zhou,et al.  Extracting information masked by chaos and contaminated with noise: Some considerations on the security of communication approaches using chaos , 1997 .