基于差分Poincaré映射的间歇混沌信号判别方法  

A Method of Intermittent Chaotic Signal Identification Based on the Difference Poincaré Mapping

作　　者：谢涛[1] 魏学业[1] 于蓉蓉[1] 王钰[1] 

机构地区：[1]北京交通大学电子信息工程学院,北京100044

出　　处：《北京交通大学学报》2009年第5期20-24,共5页JOURNAL OF BEIJING JIAOTONG UNIVERSITY

摘　　要：针对混沌振子微弱信号检测中间歇混沌信号难以判别的问题,利用混沌系统的参数敏感特性,提出一种差分Poincaré映射判别方法,实现强噪声干扰下输出间歇混沌信号的判别.该方法选取周期激励幅值具有微小差异的两个混沌振子的Poincaré映射进行差值运算,利用周期状态下输出信号收敛,而混沌状态下输出信号分离的特点,降低了噪声对周期区域的影响,使可检测输入信号的信噪比达到了-87 dB.实验表明,在时域或Poincaré映射已经无法进行分辨的情况下,该方法仍然实现了检测系统输出间歇混沌信号的有效判别.In view of intermittent chaotic signal identification problem for chaotic oscillator weak signal detection under strong noise background, a novel method based on a difference Poincare mapping is proposed using the characteristics of parameter sensitivity in chaotic system. This method implements difference through the Poincare mapping of two chaotic oscillators which is different slightly from each other at periodic force amplitude. The characteristic is adopted that the output signal is convergent in periodic state and divergent in chaotic state. Thus the influence to period regions caused by the noise is largely eliminated, and the Signal-to-Noise of input signal reaches to the level of-87dB. It is revealed that the method can still detect effectively intermittent chaotic signal in the condition that time field or Poincare mapping is failed to identify.

关 键 词：信号检测 混沌振子 间歇混沌信号判别 POINCARÉ映射 参数敏感性 

分 类 号：TN911.7[电子电信—通信与信息系统]