Abstract
Chaotic signals have the characteristics of noise-like, difficult to predict, and very sensitive to the initial state. They have broad application prospects in the fields of communication and cryptography. Aiming at the shortcomings of the traditional one-dimensional discrete logistic chaotic map, the full mapping space is small, and the complexity is not high. In this paper, a new type of logistic digital chaos generation circuit with better performance is modeled and simulated. By testing and analyzing the initial value sensitivity, autocorrelation and other characteristics of the generated sequence, the influence and rules of circuit parameter setting on the randomness of digital chaotic sequences are obtained, so as to provide the necessary theoretical basis for the application of digital chaotic sequences.
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References
Qin, J.C.: Realization of chaotic system and its control digital circuit. Masterundefineds degree thesis of Yunnan University (2014)
Wang, J., Ding, Q.: Dynamic rounds chaotic block cipher based on keyword abstract extraction. Entropy 20(9), 693 (2018)
Li, Z.B., Li, F.Q., Zhu, X.M.: Chaotic secure communication simulation of deformed Chua’s circuit. J. West Anhui Univ. 05, 61–64 (2014)
Wu, Y.: Improvement of encryption scheme of classic logistic map image and exploration of double chaos encryption technology of digital image. Xinjiang University of Finance and Economics (2016)
Xu, D., Cui, X.X., Tian, W., et al.: Research on chaotic random number generator based on Logistic mapping. Microelectr. Comput. 33(2), 1–6 (2016)
Jia, Y.J., Wang, Y.Y.: Design and implementation of improved logistic chaotic sequence generator. Mach. Electr. 37(04), 24–29 (2019)
Wang, J., Ding, Q.: Excellent Performances of the Third-Level disturbed chaos in the cryptography algorithm and the spread spectrum communication. J. Inf. Hiding Multimed. Signal Process 7, 826–835 (2016)
Wang, J., Wang, Y., Yin, C., et al.: Investigation on the simulation of one-dimensional discrete chaotic digital generation circuit. In: 2015 Third International Conference on Robot, Vision and Signal Processing (RVSP), pp. 195–199. IEEE (2015)
Wang, J., Yang, T., Li, Y., et al.: Design of integer chaotic key generator for wireless sensor network. Int. J. Future Gen. Commun. Network. 9(11), 327–336 (2016)
Chen, Z.G., Liang, D.Q., Deng, X., et al.: Performance analysis and improvement of Logistic chaotic mapping. J. Electr. Inf. Technol. 38(6), 1547–1551 (2016)
Dang, X.Y., Li, H.T., Yuan, Z., et al.: Implementation of chaotic mapping based on digital-analog mixing. Acta Phys. Sin 64(16), 160501–160501 (2015)
Fan, C.L., Ding, Q.: Improved algorithm based on Logistic chaotic sequence and its performance analysis. Electr. Device 38(4), 759–763 (2015)
Cai, D., Ji, X.Y., Shi, H., et al.: Improved method and performance analysis of piecewise Logistic chaotic mapping. J. Nanjing Univ. (Nat. Sci.) 52(5), 809–815 (2016)
Qi, Y.B., Sun, K.H., Wang, H.H., et al.: Design and performance analysis of a hyperchaotic pseudorandom sequence generator. Comput. Eng. Appl. 135–139 (2017)
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This work was supported by Heilongjiang Fundamental Research Foundation for the Local Universities (2018KYYWF1189) and Science and Technology Innovation Foundation of Harbin (2017RAQXJ082).
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Wang, J., Wenbin, L., Tongzhuang, H., Xin, Z. (2020). Design and Analysis of a New Logistic Chaotic Digital Generation Circuit. In: Jiang, X., Li, P. (eds) Green Energy and Networking. GreeNets 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 333. Springer, Cham. https://doi.org/10.1007/978-3-030-62483-5_8
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DOI: https://doi.org/10.1007/978-3-030-62483-5_8
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