Title :
A new method of detecting line-spectrum based on auto-correlation with stochastic resonance theory
Author :
Fu Zhikai ; Xing Jianchun ; Zhu Ruide ; Wang Shuangqing ; Yang Qiliang ; Fu Donghao
Author_Institution :
Coll. of Defense Eng., PLA Univ. of Sci. & Technol., Nanjing, China
Abstract :
In the field of weak signal detection, traditional ways have difficulties in extracting characteristic line-spectrum from low signal-to-noise (SNR) signal. In order to solve the problem, on the basis of the adiabatic elimination stochastic resonance (SR) in small parameters, a new method of detecting line-spectrum based on auto-correlation with stochastic resonance theory was proposed. Firstly, this method uses auto-correlation process to eliminate part of the noise, and then it imports the processed data into stochastic resonance system for weak line-spectrum detection. The result of simulation proves the effectiveness of this designed method.
Keywords :
signal denoising; signal detection; SNR signal; SR; adiabatic elimination stochastic resonance; auto-correlation process; line-spectrum detection; signal detection; signal-to-noise signal; stochastic resonance theory; Correlation; Marine vehicles; Resonant frequency; Signal to noise ratio; Stochastic resonance; Time-frequency analysis; Adiabatic elimination; Auto-correlation; Line-spectrum detection; Stochastic resonance;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561089
