Research Article
Research on Weak Signal Detection Method Based on Duffing Oscillator in Narrowband Noise
@INPROCEEDINGS{10.1007/978-3-030-69066-3_10, author={Qiuyue Li and Shuo Shi}, title={Research on Weak Signal Detection Method Based on Duffing Oscillator in Narrowband Noise}, proceedings={Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings}, proceedings_a={AICON}, year={2021}, month={7}, keywords={Signal detection Duffing oscillator Narrowband noise}, doi={10.1007/978-3-030-69066-3_10} }- Qiuyue Li
Shuo Shi
Year: 2021
Research on Weak Signal Detection Method Based on Duffing Oscillator in Narrowband Noise
AICON
Springer
DOI: 10.1007/978-3-030-69066-3_10
Abstract
One of the most important issues in communication is how to effectively detect signals. Being able to correctly detect the required signal is the basis for the partner to correctly implement the signal reception, and is also the basis for non-cooperative parties to implement information countermeasures and signal interference. The nonlinear signal detection method makes full use of the characteristics of the nonlinear system, and can detect the low SNR signal by converting the change of the signal into the change of the system state. Chaos theory is one of the nonlinear signal detection algorithms, and Duffing oscillator is the most typical. In this paper, the basic theory of Duffing oscillator is studied firstly, and the weak signal detection method based on Duffing oscillator is analyzed. In order to achieve signal frequency detection under narrowband noise conditions, narrowband noise is introduced into the Duffing oscillator to create a new Duffing oscillator model. Then analyzes the model by Melnikov equation, and the state form of the Duffing oscillator different from the traditional theory is obtained, that is, the probability period state of the oscillator under narrowband noise. A new method for weak signal detection using Duffing oscillator under narrow-band noise conditions is proposed. The state of the oscillator is judged by the period state time ratio (PSTR) method. Subsequently, using MATLAB to establish a weak signal detection platform based on PSTR method, the feasibility of detecting weak signals based on PSTR method under narrow-band noise conditions is verified.
