Abstract:
This paper proposes an optimal stochastic resonance (SR) approach of the traditional quartic double-well bistable system, which is driven by a weak noisy single-frequency...Show MoreMetadata
Abstract:
This paper proposes an optimal stochastic resonance (SR) approach of the traditional quartic double-well bistable system, which is driven by a weak noisy single-frequency sinusoidal signal under low signal-to-noise ratio (SNR) circumstance. By introducing an external independent additive SR noise and optimizing the corresponding two driving parameters of the weak noisy sinusoidal signal and the external SR noise, a maximal output SNR of the SR system state variable can be reached together with SNR improvement. Simulation results verify the effectiveness of the approach. And it can certainly be applied to weak single-frequency target detection or identification problems and so on.
Date of Conference: 15-18 May 2011
Date Added to IEEE Xplore: 04 July 2011
ISBN Information:
ISSN Information:
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- IEEE Keywords
- Index Terms
- Bistable System ,
- Stochastic Resonance ,
- Stochastic-resonance System ,
- Signal-to-noise ,
- State Variables ,
- Identification Of Targets ,
- Additive Noise ,
- Identification Problem ,
- Sinusoidal Signal ,
- Noisy Signal ,
- External Noise ,
- Independent Noise ,
- Signal-to-noise Ratio Improvement ,
- Weak Targets ,
- Maximum Likelihood Estimation ,
- Loss Of Generality ,
- Theoretical Analysis ,
- Computer Simulations ,
- Gaussian Noise ,
- Signal Amplitude ,
- Signal Frequency ,
- Low Signal-to-noise Ratio
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Bistable System ,
- Stochastic Resonance ,
- Stochastic-resonance System ,
- Signal-to-noise ,
- State Variables ,
- Identification Of Targets ,
- Additive Noise ,
- Identification Problem ,
- Sinusoidal Signal ,
- Noisy Signal ,
- External Noise ,
- Independent Noise ,
- Signal-to-noise Ratio Improvement ,
- Weak Targets ,
- Maximum Likelihood Estimation ,
- Loss Of Generality ,
- Theoretical Analysis ,
- Computer Simulations ,
- Gaussian Noise ,
- Signal Amplitude ,
- Signal Frequency ,
- Low Signal-to-noise Ratio
- Author Keywords