Title :
Chaotic method for radio fuze signal detection in strong noise
Author :
Xiaopeng, Yan ; Ping, Li ; Zhiyu, Cao ; Fengkai, Xu ; Feifei, Meng
Author_Institution :
Lab. for Mechatron. Eng. & Control, Beijing Inst. of Technol., Beijing, China
Abstract :
The radio fuze signal is always buried in the noise, so it is difficult to detect useful information. A new method based on the chaotic theory is introduced to detect the radio fuze signal buried in the strong noise. Starting from the analysis of the chaotic detection theory, we established the chaotic system of the radio fuze signal, analyzed the influence for chaotic system from the radio fuze signal, and put forward the chaotic detection method. Then, an exposition was made on why the chaotic system can be used to improve signal-to-noise ratio. Simulink results show the new method can detect radio fuze signal in the strong noise efficiently.
Keywords :
interference (signal); signal detection; chaotic detection method; chaotic detection theory; chaotic system; radio fuze signal detection; signal to noise ratio; strong noise; Chaos; Noise measurement; denoising; duffing oscillator; radio fuze; signal-to-noise ratio;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5610182