基于扩频的复合混沌优选序列生成方法
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摘要
针对现有的一维混沌伪随机序列产生方式过于单一、易被反向截获、复杂度低等不足,通过对混沌序列的初值和分形参数进行相互控制,异或叠加,并选取合适的初值和分形参数的方式,提出新的复合混沌优选序列;然后从复杂度、平衡性、游程特性、相关性、随机性等角度对序列进行性能分析。仿真分析结果表明,生成的复合混沌序列不仅提高了混沌序列的复杂度,而且具有较好的游程特性和平衡性,相比于单一混沌序列,其随机性和相关性也更好,满足扩频通信系统中伪随机序列的性能要求。
To solve problem that the existing one-dimensional chaotic pseudo-random sequence generation method is simple and easy to be intercepted by reverse,by controlling the initial value and fractal parameters of the chaotic sequence,XOR is superimposed,and the appropriate initial is selected. With values and fractal parameters,a newcomposite chaotic preferred sequence is proposed. The performance of the sequence is then analyzed from the perspectives of complexity,balance,run-length characteristics,correlation,and randomness.Then the sequence is subjected to performance analysis such as complexity,balance,run characteristics,correlation,and randomness. Analytical verification of balance,run characteristics,and correlation can also be collectively referred to as the Pseudo-noise Sequence test.The simulation results showthat the generated composite chaotic sequence not only improves the complexity of the chaotic sequence,but also has better run-length characteristics and balance. Compared with a single chaotic sequence,its randomness and correlation are better,and it satisfies the spread spectrum. Performance requirements for pseudo-random se-quences in communication systems.
To solve problem that the existing one-dimensional chaotic pseudo-random sequence generation method is simple and easy to be intercepted by reverse,by controlling the initial value and fractal parameters of the chaotic sequence,XOR is superimposed,and the appropriate initial is selected. With values and fractal parameters,a newcomposite chaotic preferred sequence is proposed. The performance of the sequence is then analyzed from the perspectives of complexity,balance,run-length characteristics,correlation,and randomness.Then the sequence is subjected to performance analysis such as complexity,balance,run characteristics,correlation,and randomness. Analytical verification of balance,run characteristics,and correlation can also be collectively referred to as the Pseudo-noise Sequence test.The simulation results showthat the generated composite chaotic sequence not only improves the complexity of the chaotic sequence,but also has better run-length characteristics and balance. Compared with a single chaotic sequence,its randomness and correlation are better,and it satisfies the spread spectrum. Performance requirements for pseudo-random se-quences in communication systems.
引文
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[3]张严平,陆锐敏,马世旺.一种混合混沌序列的研究[J].通信技术,2015,48(3):267-27.
[4]侯娟.混沌伪随机序列的产生及其在扩频通信系统中的应用[D].广州:华南理工大学,2012.
[5]刘建军,石定元,武国宁.基于Kent映射的混合混沌优化算法[J].计算机工程与设计,2015,36(6):1498-1503.
[6]张薇,谢红梅,王保平.一种新型的分段Logistic混沌扩频通信算法[J].计算机科学,2013,40(1):59-62.
[7] Yin Y,Zhou F,Qiao G,et al. Burst Mode Hybrid Spread Spectrum Technology for Covert Acoustic Communication[J]. Oceans. IEEE,2014,155(2):1-8.
[8] Kodovsky J,Fridrich J,Holub V. Ensemble Classifiers for Steganalysis of Digital M edia[J]. IEEE Transaction on Information Forensics and Security,2012,7(2):432-444.
[9]陈紫强,舒亮,谢跃雷.一种高复杂性的混沌序列[J].桂林电子科技大学学报,2016,36(5):355-359.
[10]于一丁,王永川,王长龙.一种迭代级联混沌扩频序列及其性能分析[J].电子技术应用,2016,42(7):95-98.
[11]徐东明,王园慧.一种复合混沌序列生成算法[J].西安邮电大学学报,2017,22(5):8 4-93.
[12]罗启彬,张健.一种新的混沌伪随机序列生成方式[J].电子与信息学报,2006,28(7):1262-1265.
[13]齐迎宾,孙克辉,王会海,等.超混沌伪随机序列生成器设计与性能分析[J].计算机工程与应用,2017,53(4):135-139.
[14] Shi P,Qi D,Li M,et al. Robustness of Fractional Order for FRFT-OFDM systems[J]. IEEE International Conference on Communication Softw are and Netw orks. IEEE,2015,91(9):241-244.
[15]罗冬梅.混沌序列特性分析及混沌同步技术研究[D].重庆:重庆大学,2011.
[16]李红燕,杨万利.从Gray-Scott系统中提取二值伪随机序列的方法研究[J].计算机工程与应用,2017,53(13):66-71.
[17]邹凤.扩频通信系统中混合混沌序列扩频码的仿真与研究[D].杭州:电子科技大学,2015.
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[19]刘金梅,张卫,丘水生.一种改善Tent混沌序列随机性的方法[J].计算机工程,2012,38(6):10-12.