• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学

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基于变步长阵发混沌的ZPW-2000低频信号检测方法研究

武晓春,张海东   

  1. (兰州交通大学自动化与电气工程学院,甘肃 兰州 730070)
  • 收稿日期:2015-09-07 修回日期:2015-11-19 出版日期:2016-10-25 发布日期:2016-10-25
  • 基金资助:

    国家自然科学基金(61161027)

A ZPW-2000 low frequency signal detection method
 based on variable step paroxysmal chaos
 

WU Xiao-chun,ZHANG Hai-dong   

  1. (School of Automation & Electrical Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)
  • Received:2015-09-07 Revised:2015-11-19 Online:2016-10-25 Published:2016-10-25

摘要:

针对常规混沌阵列检测轨道移频信号所带低频信息存在复杂度高和精确性低的问题,对常规方法进行改进,提出了一种基于变步长阵发混沌的低频信号检测方法,该方法只运用一个Duffing振子,通过设置一组步长可以覆盖整个待检测低频信号所在频段的序列,来实现对轨道低频信号的检测。结合Duffing混沌系统检测信号的优越性,分析了利用变步长阵发混沌法检测低频信号的可行性,给出了此方法检测低频信号的步骤,并从理论上计算了可发生阵发混沌的步长序列,然后利用Matlab/Simulink搭建仿真模型进行仿真验证。结果表明,可用变步长阵法混沌法对低频信号进行检测。最后再利用阵发混沌周期法对仿真结果进行进一步研究,得出精确的低频信号。变步长阵发混沌法的检测性能在精确性及系统复杂度方面都优于传统的轨道低频信号检测方法,并且可以实现低信噪比下低频信号的检测。

关键词: 变步长阵发混沌, ZPW-2000, 信号检测, Duffing振子, 检测性能

Abstract:

Concerning the problem that conventional chaotic array used for detecting track frequency-shift signals with low frequency information is of high complexity and low accuracy,we propose a low frequency signal detection method based on variable step paroxysmal chaos to improve the conventional methods.Through setting a sequence of steps which can cover the frequency band of the low frequency to be measured,we use one Duffing oscillator to accomplish track low frequency detection.In conjunction with the advantages of the Duffing chaotic system in signal detection,we analyze the feasibility of using variable step paroxysmal chaos to detect low frequency,describe the detection steps,and theoretically calculate the step sequences which can cause paroxysmal chaos.We build a simulation model on the Matlab/Simulink and the simulation results show that the proposed method is feasible.Finally we further study on the simulation results using the period method of paroxysmal chaos and obtain accurate low frequency signals.The detection method based on variable step paroxysmal chaos outperforms the traditional track low frequency detection method in accuracy and system complexity,and it can achieve low frequency signal detection under low signal-to-noise ratio.

Key words: variable step paroxysmal chaos, ZPW-2000, signal detection, Duffing oscillator, detection performance