Research Article
A High-resolution Weak Signal Detection Method Based on Stochastic Resonance and Superhet Technology
@INPROCEEDINGS{10.1109/ChinaCom.2012.6417501, author={Wanyi Yin and Shuo Shi and Mingchuan Yang and Mingjie He}, title={A High-resolution Weak Signal Detection Method Based on Stochastic Resonance and Superhet Technology}, proceedings={7th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2012}, month={10}, keywords={weak signals stochastic resonance superhet technology}, doi={10.1109/ChinaCom.2012.6417501} }- Wanyi Yin
Shuo Shi
Mingchuan Yang
Mingjie He
Year: 2012
A High-resolution Weak Signal Detection Method Based on Stochastic Resonance and Superhet Technology
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2012.6417501
Abstract
A detection method based on the strong low-frequency weak-signal detection ability of stochastic resonance is proposed, aimed at the detection of the unknown weak signal. By mixing the unknown signal with a continuous linear changing local oscillator signal, a difference frequency signal will be generated, which will be sent to the stochastic resonance system. Thus, an obviously changed output can be obtained. Because the stochastic resonance system is extremely sensitive to low frequency, the system will have a maximum output when the local oscillator and frequency of the unknown signal are closest. The frequency of the unknown signal will be measured precisely from the local oscillator frequency and the difference frequency. It can be inferred from the theoretical analysis and numerical simulation that this method has a large detection range, high resolution, and good prospect.
