基于单势阱随机共振的多频周期微弱信号检测

经典随机共振（SR）应用于微弱信号检测,在取得较好效果的同时也带来了最佳系统参数调节困难的问题.单势阱随机共振（SSR）只需调整一个系统参数,更容易调整系统到最佳状态.在研究了单势阱随机共振理论基础上,对多频周期信号加上与实际更为接近的色噪声,采用互相关系数作为测度指标,运用自适应方法寻找系统最优参数后,系统设置该参数,从待测信号中检测出多频周期微弱信号.实验结果表明单势阱随机共振对多频周期微弱信号具有较好的检测效果.

Multi-frequency periodic weak signal detection based on single-well potential stochastic resonance

Classic stochastic resonance（SR） gets good resuhs and also brings the problem that it＇s hard to find the optimal parameters of the system at the same time when applied in weak signal detection. Singlewell potential sto chastic resonance （SSR） has only one parameters to be adjusted,it is easier to adjust the system to the best state. After studying the singlewell potential stochastic resonance theory, we add the multifrequency periodic signal with color noise which is more close to the reality, and takes cross correlation coefficient as the measurement index, the system is set the parameter after find the optimal parameter of the system with selfadapting method, then detects multifrequency periodic weak signal from the test signal. The results show that the singlewell potential stochastic resonance has a good detection effects on multifrequency periodic weak signal.