Title :
The high-frequency weak signal detection based on stochastic resonance
Author :
Wang, Jianhui ; Xiao, Qian ; Li, Xing
Author_Institution :
Key Lab. of Process Ind. Autom., Northeastern Univ., Shenyang, China
Abstract :
Aiming at the issue of the traditional stochastic resonance only applicable to deal with low-frequency signals, a high-frequency weak signal detection method based on stochastic resonance is proposed. By analyzing the relationship among the traditional stochastic resonance model parameters, the input signal amplitude, the noisy signal and the signal to noise ratio of output, an additional gain is added to the original model which makes the sampling time multiplied reduced in the stochastic resonance system, in order to achieve the mapping from high-frequency signal to low-frequency signal. Studies have shown that the improved stochastic resonance model has accurately detected the high-frequency input signal.
Keywords :
resonance; signal detection; stochastic processes; high-frequency weak signal detection; input signal amplitude; low-frequency signals; signal to noise ratio; stochastic resonance; Laser radar; Low-frequency noise; Noise level; Nonlinear systems; Signal analysis; Signal detection; Signal mapping; Signal processing; Signal to noise ratio; Stochastic resonance; SNR of output; high-frequency; stochastic resonance; weak signal;
Conference_Titel :
Test and Measurement, 2009. ICTM '09. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4699-5
DOI :
10.1109/ICTM.2009.5412900