A New Method of Detecting Line-spectrum based on Auto-correlation with Stochastic Resonance Theory

被引:0
作者
Fu Zhikai [1 ]
Xing Jianchun [1 ]
Zhu Ruide [1 ]
Wang Shuangqing [1 ]
Yang Qiliang [1 ]
Fu Donghao [1 ]
机构
[1] PLA Univ Sci & Technol, Coll Def Engn, Nanjing 210007, Jiangsu, Peoples R China
来源
2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2013年
关键词
Auto-correlation; Stochastic resonance; Adiabatic elimination; Line-spectrum detection;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:1104 / 1107
页数:4
相关论文
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