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Jan.  2011
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Wang Shi-yuan, Feng Jiu-chao. A Method of Chaotic Communication Based on Particle Filter[J]. Journal of Electronics & Information Technology, 2008, 30(1): 89-92. doi: 10.3724/SP.J.1146.2006.00847
Citation: Wang Shi-yuan, Feng Jiu-chao. A Method of Chaotic Communication Based on Particle Filter[J]. Journal of Electronics & Information Technology, 2008, 30(1): 89-92. doi: 10.3724/SP.J.1146.2006.00847

A Method of Chaotic Communication Based on Particle Filter

doi: 10.3724/SP.J.1146.2006.00847
  • Received Date: 2006-06-14
  • Rev Recd Date: 2006-11-23
  • Publish Date: 2008-01-19
  • This paper addresses the issue of chaotic communication with Particle Filter (PF). Combining with the modeling technique for signal, a filtering method based on the particle filter is proposed. Communication is accomplished by using additive chaos masking scheme or multiplicative chaos masking scheme in the transmitter, and message symbols are estimated in the receiver. Simulation results demonstrate that when message symbols are binary codes and M-ary codes, two kinds of chaos masking schemes based on the particle filtering method can perform effectively communication with chaos for retrieving the message signals from the noisy contaminated chaotic signals. In comparison with the UKF-based method, PF-based method has a lower Bit Error Rate (BER). In addition, compared with multiplicative chaos masking scheme, the additive chaos masking scheme based on the particle filtering has a lower bit error rate performance, which is close to ideal BPSK.
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  • [1] Yang T. A survey of chaotic secure communication systems[J]. International Journal of Computational Cognition, 2004,2(2): 81-130. [2] Feng J C and Tse C K. On-line adaptive chaotic demodulatorbased on radial-basis-function neural networks [J]. Phys. Rev.E, 2001, 63(026202): 1-10. [3] Cuomo K M, Oppenheim A V, and Strogratz S H.Synchronization of Lorenz-based chaotic circuits withapplication to communication [J].IEEE Trans. on Circ.Systytems-II.1993, 40(10):626-633 [4] Sobiski D J and Thorp J S. PDMA-1: Chaoticcommunication via the extended Kalman filter [J] IEEETrans.on Circ. Systems-I, 1998, 45(2): 194-197. [5] Azou S and Burel G. Design of a chaos-based spreadspectrumcommunication system using dual UnscentedKalman filters [A]. IEEE Communications Conf. [C]Bucharest, Romania, Dec. 2002: 123-128. [6] Arulampalam M S, Maskell S, and Gordon N, et al.. Atutorial on particle filters for online nonlinear/non-GaussianBayesian tracking [J].IEEE Trans. on Signal Processing.2002, 50(2):174-188 [7] 王世元,冯久超. 应用粒子滤波器实现混沌通信系统的盲信道均衡[J]. 电路与系统学报, 2005, 10(1): 98-102.Wang S Y and Feng J C. Blind channel equalization'sperformance of chaos-based communication systems withparticle filter [J]. Journal of Circuits and Systems, 2005, 10(1):98-102. [8] Sobiski D J and Thorp J S. PDMA-2: The feedback Kalmanfilter and simultaneous multiple access of a single channel [J].IEEE Trans. on Circ. and Systems-I.1998, 45(2):142-149
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