Title :
The frequency estimation of weak signal based on chaotic system fusion technology
Author :
Xu, Yanchun ; Yang, Chunling ; Qu, Xiaodong ; Yang, Mengda ; Yang, Quan
Author_Institution :
Dept. of Electr. Eng., Harbin Inst. of Technol., Harbin, China
Abstract :
In this paper we use fusion technology based on Rossler chaotic oscillator and proportional differential control technology to detect the frequency of the weak signal. The dynamic character of Rossler equation is analyzed and it is immune against the white noise and the interference signal having larger frequency difference with the intrinsic frequency of chaotic oscillator. And proportional differential control is used to regulate the system to periodic state and the method of spectrum analysis to detect the unknown frequency. The simulation result verified that the presented method is effective and it is very feasible.
Keywords :
PD control; chaos; frequency estimation; interference (signal); sensor fusion; spectral analysis; white noise; Rossler chaotic oscillator; Rossler equation; chaotic system fusion; interference signal; intrinsic frequency; proportional differential control; spectrum analysis; weak signal frequency estimation; white noise; Chaos; Control systems; Difference equations; Feedback control; Frequency estimation; Nonlinear control systems; Nonlinear equations; Oscillators; Proportional control; Signal detection; PD control; chaotic system; frequency estimation; fusion technology;
Conference_Titel :
ICCAS-SICE, 2009
Conference_Location :
Fukuoka
Print_ISBN :
978-4-907764-34-0
Electronic_ISBN :
978-4-907764-33-3
