NDLI: A new method of detecting line-spectrum based on auto-correlation with stochastic resonance theory

Content Provider	IEEE Xplore Digital Library
Author	Fu Zhikai Xing Jianchun Zhu Ruide Wang Shuangqing Yang Qiliang Fu Donghao
Copyright Year	2013
Description	Author affiliation: Coll. of Defense Eng., PLA Univ. of Sci. & Technol., Nanjing, China (Fu Zhikai; Xing Jianchun; Zhu Ruide; Wang Shuangqing; Yang Qiliang; Fu Donghao)
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.
Sponsorship	IEEE Control Syst. Soc.
Starting Page	1104
Ending Page	1107
File Size	839330
Page Count	4
File Format	PDF
ISBN	9781467355339
e-ISBN	9781467355346
DOI	10.1109/CCDC.2013.6561089
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time-frequency analysis Correlation Stochastic resonance Auto-correlation Resonant frequency Adiabatic elimination Line-spectrum detection Marine vehicles Signal to noise ratio
Content Type	Text
Resource Type	Article

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