Research Article
Extension of 2FSK Signal Detection Utilizing Duffing Oscillator
@INPROCEEDINGS{10.1007/978-3-319-73447-7_6, author={Dawei Chen and Enwei Xu and Shuo Shi and Xuemai Gu}, title={Extension of 2FSK Signal Detection Utilizing Duffing Oscillator}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Duffing oscillator Chaos system Frequency overlapping Weak signal detection FSK}, doi={10.1007/978-3-319-73447-7_6} }- Dawei Chen
Enwei Xu
Shuo Shi
Xuemai Gu
Year: 2018
Extension of 2FSK Signal Detection Utilizing Duffing Oscillator
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_6
Abstract
Based on the sensitivity of the chaotic system to the initial value and the characteristics of the noise immunity, this paper presents a method to detect the FSK signal of closed carrier frequency under the low signal-to-noise ratio based on the Duffing oscillator, and then give the principle of FSK signal and its modulation. Furthermore, a method to solve the problem that frequency overlapping occurred between two closed frequencies FSK signal is proposed. Based on the theoretical analysis, the simulation model is established by using MATLAB and Simulink. The simulation results show that the model can solve the frequency overlapping of the FSK signal effectively; meanwhile, it has good detection precision and anti-noise performance.
