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基于CNN的混沌参数扩频调制数字保密通信系统 被引量:2

Spread spectrum digital secure communication system via chaotic parameter modulation based on cellular neural network
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摘要 文章提出了一种基于CNN的混沌参数扩频调制数字保密通信系统。发射时,将CNN混沌输出作为载波,用每个待发送的数字信息信号对CNN多次迭代运算中某一参数在其混沌区域进行相同的调制,实现了参数扩频调制。接收时,利用CNN混沌的发生规则通过简单的信号处理运算恢复出原来的有用信号。由于不需要进行混沌同步,系统实现更简单。分析和仿真表明,文章提出的CNN混沌参数扩频调制通信系统具有极高的保密性能,并且由于采用了扩频处理,误码率远低于传统的混沌参数调制通信系统。 A spread spectrum digital secure communication system via chaotic parameter modulation based on cellular neural network(CNN) is proposed in this paper. At the transmitter, the CNN chaot- ic signal is used as the carrier, and one parameter of the CNN is modulated by the transmitted digitalsignal in its chaotic region as CNN iterations are carried on. At the receiver, the transmitted digital signal is recovered by using the generating rule of CNN chaos through some simple signal processing operations. The implementation of the system is much easier because the chaotic synchronization is nolonger needed. The simulation and analysis results show that the proposed CNN spread spectrum dig- ital secure communication system via chaotic parameter modulation is excellent on the secrecy, and its bit-error rate is much lower than those of other conventional chaotic parameter modulation communi- cation systems because of the spread spectrum processing.
出处 《合肥工业大学学报(自然科学版)》 CAS CSCD 北大核心 2012年第4期489-492,共4页 Journal of Hefei University of Technology:Natural Science
关键词 混沌 混沌参数调制 扩频 保密通信 chaos chaotic parameter modulatiom spread spectrum secure communication
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参考文献8

  • 1汪海明,赵建业,郭仕德,余道衡.CNN混沌扩频通信系统的性能研究[J].电讯技术,2002,42(6):99-103. 被引量:6
  • 2Pecora M,Carroll L. Synchronization in chaotic systems[J].Physical Review Letters,1990,(08):821-824.doi:10.1103/PhysRevLett.64.821.
  • 3Dedieu H,Kennedy M P,Hasler M. Chaos shift keying:modulation and demodulation of a chaotic carrier using self-synchronizing Chua's circuits[J].IEEE Transactions on Circuits and Systems,1993,(10):634-642.
  • 4Yang T,Chua L O. Secure communication via chaotic parameter modulation[J].IEEE Transactions on Circuits and Systems,1996,(09):817-819.
  • 5纪飚,陆佶人.基于混沌参数调制的数字通信方式[J].通信学报,1999,20(11):50-54. 被引量:15
  • 6李国辉,徐得名,周世平.基于状态观测器的参数调制混沌数字通信[J].物理学报,2004,53(3):706-709. 被引量:13
  • 7Samuel B,Moukam K F M. Secure communication via parameter modulation in a class of chaotic systems[J].Communications in Nonlinear Science & Numerical Simulation,2007,(03):397-410.
  • 8Chua L O,Yang L. Cellular neural networks:Theory[J].IEEE Transactions on Circuits and Systems,1988,(10):1257-1272.

二级参考文献10

  • 1[1]Kolumban G,Kennedy M P and Chua L O 1997 IEEE Trans.CAS-I 44 927Kolumban G,Kennedy M P and Chua L O 1998 IEEE Trans.CAS-I 45 1129
  • 2[2]Kocarev L and Parlitz U 1995 Phys.Rev.Lett.74 5028
  • 3[5]Yang X S 2000 Acta Phys.Sin.49 1919(in Chinese)[杨晓松 2000 物理学报 49 1919]
  • 4[6]Pecora L M and Carroll T L 1990 Phys.Rev.Lett.64 821
  • 5郝柏林,从抛物线谈起.混沌动力学引论,1993年
  • 6L.O.Chua, L.Yang. Cellular neural network: Theory[J]. IEEE Trans. CAS, 1988, vol.35 (10): 1257~1272.
  • 7F.Zou, J.A.Nossek. Bifurcation and chaos in cellular neural networks[J]. IEEE Trans. On CAS,1993, vol.40 (3):166~173
  • 8Wang Haiming, Zhao Jianye, Gu Xiaodong et al. A research on DSSS based on CNN[A].The 8th International Conference on Neural Information Processing[C], Shanghai, China. 2001,835~840.
  • 9T.Sojanovski, L.Kocarev, U.Partliz. Driving and synchronization by chaotic impulse[J]. Physic Review E, 1996, 54(2):2128~2131
  • 10汪海明,郭仕德,赵建业,沈士洪,余道衡.一种用于扩频通信系统的CNN多值随机码的研究[J].电子与信息学报,2003,25(7):931-937. 被引量:5

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