Title :
Analysis of Chaotic System Characters Based on Time-Frequency Distribution
Author :
Nie, Chunyan ; Shi, Yaowu ; Yi, Wensuo
Author_Institution :
Commun. Inst., Jilin Univ., Changchun
Abstract :
Chaotic signal is non-stationary when chaos system is in chaotic state. Wigner distribution (WD) is one of time-frequently distribution methods. This paper analyzed the characters of chaos system and the energy of output signal. Simulation experiment indicated that chaos system is a narrowband system, because the frequency band of the output signal became narrower, which showed that it can fully suppress the signal outside inherent frequency. At the same time, the WD of chaos signal and random signal were analyzed respectively by time-frequently distribution. The problem, which the two signals are difficult to be distinguished by correlation method and spectrum method, now is deal with successfully. In this paper, the narrowband character of chaos system proposed offer a new way and method for detecting weak signal in strong noise
Keywords :
Wigner distribution; chaos; signal detection; spectral analysis; time-frequency analysis; Wigner distribution; chaotic signal; chaotic system; correlation method; narrowband system; random signal; signal detection; spectrum method; time-frequency distribution; Automation; Chaos; Correlation; Discrete wavelet transforms; Intelligent control; Narrowband; Signal analysis; Signal detection; Time frequency analysis; Wigner distribution; chaos system; non-stationary; signal detection;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713304