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跳頻通信和捷變頻雷達(dá)跳頻碼的混沌特性

甘建超,  肖先賜

甘建超, 肖先賜. 跳頻通信和捷變頻雷達(dá)跳頻碼的混沌特性[J]. 電子與信息學(xué)報(bào), 2003, 25(7): 963-968.
引用本文: 甘建超, 肖先賜. 跳頻通信和捷變頻雷達(dá)跳頻碼的混沌特性[J]. 電子與信息學(xué)報(bào), 2003, 25(7): 963-968.
Gan Jianchao, Xiao Xianci. Chaotic peculiarities of HF code in HF communication and frequency agile radar[J]. Journal of Electronics & Information Technology, 2003, 25(7): 963-968.
Citation: Gan Jianchao, Xiao Xianci. Chaotic peculiarities of HF code in HF communication and frequency agile radar[J]. Journal of Electronics & Information Technology, 2003, 25(7): 963-968.

跳頻通信和捷變頻雷達(dá)跳頻碼的混沌特性

Chaotic peculiarities of HF code in HF communication and frequency agile radar

  • 摘要: 該文通過對(duì)實(shí)測(cè)跳頻通信和捷變頻雷達(dá)跳頻碼的混沌動(dòng)力學(xué)特征量，如奇異吸引子、最大李亞普諾夫指數(shù)、關(guān)聯(lián)維數(shù)的分析和計(jì)算，說(shuō)明了跳頻通信和捷變頻雷達(dá)跳頻碼確實(shí)具有混沌特性，是一種混沌現(xiàn)象。這對(duì)從理論上認(rèn)識(shí)跳頻通信和捷變頻雷達(dá)跳頻碼的本質(zhì)，具有重要的理論意義。
    Abstract: This paper illustrates that Hopping Frequency (HF) communication and frequency agile radar have chaotic peculiarities, and are chaotic phenomena, with computing singular attractor and their correlative dimensions and Lyapunov exponents from simulation. It has important significance to recognizing HF communication and frequency agile radar on theory and essence.
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  • 董華春,宗成閣,權(quán)太范,高頻雷達(dá)海洋回波信號(hào)的混沌特性分析,電子學(xué)報(bào),2000,28(3),25-28.[2]H. Kantz, T. Schreiber, Nonlinear Time Series Analysis, Cambridge, Cambridge University Press,2000, chapter 1.[3]郭雙冰,肖先賜,幾種混沌跳頻碼的混沌動(dòng)力學(xué)特性及預(yù)測(cè)分析,系統(tǒng)工程與電子技術(shù),2000,22(12),29-32.[4]F. Takens, Detecting strange attractors in fluid turbulence, 1981, Dynamical Systems and Turbulence, eds., D. Rand, L. S. Young, (Berlin, Springer), 366-381.[5]袁堅(jiān),肖先賜,低信噪比下的狀態(tài)空間重構(gòu),物理學(xué)報(bào),1997,46(7),1290-1299.[6]袁堅(jiān),肖先賜,淹沒在噪聲中的混沌信號(hào)的最大李亞普諾夫指數(shù)的提取,電子學(xué)報(bào),1997,25(10),134-139.[7]N.H. Packard, J. P. Crutchfield, J. D. Farmer, R. S. Shaw, Geometry from a time series, Phys.Rev. Lett., 1980, 45(9), 712-716.[8]J.P. Eckmann, D. Ruelle, Fundamental limitations for estimating dimensions and Lyapunov exponents in dynamic systems.[J]. Physica D.1992,56:185-[9]J. Theiler, Spurious dimension from correlation algorithms applied to limited time-series data,Phys. Rev. A, 1986, 34(3), 2427-2432.[10]M.T. Rosenstein, J. J. Collins, C. J. D. Luca, A practical method for calculating largest Lyapunov exponents from small data sets.[J]. Physica D.1993,65:117-[11]P. Grassberger, I. Procaccia, Measuring the strangeness attractors, Phys. Rev. Lett., 1983, 50(5),346-349.[12]肖先賜,混沌信號(hào)處理,電子對(duì)抗,2002,83(2),20-30.[13]G. Sugihara, R. M. May, Nonlinear forecasting as a way of distinguishing chaos from measure error in time series, Phys. Rev. Lett., 1990, 64(9), 734-741.
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出版歷程
  • 收稿日期:  2002-03-25
  • 修回日期:  2002-08-26
  • 刊出日期:  2003-07-19

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