频移变尺度自适应随机共振在大信号检测中的应用

Application of Frequency-shifted and Re-scaling Adaptive Stochastic Resonance in Signal Detection

针对随机共振检测大信号的局限性和判断随机共振发生时刻的盲目性,提出了将基于频域信噪比的自适应算法引入频移变尺度随机共振中,自动调节双稳态系统结构参数和采样频率,自动获取随机共振状态,实现大参数信号检测.数值仿真实验结果表明,频移变尺度自适应随机共振可以从强噪声背景中提取较高频率的周期信号;能自适应地寻找到随机共振发生时刻,获得了较高的输出信噪比,在信号检测领域具有更好的应用前景.

Based on the limitation of stochastic resonance（SR） in weak signal detection with large parameters and the blindness of SR occurrence,the adaptive algorithm on the basis of frequency-domain RSN is combined to the method of Frequency-shifted and Re-scaling stochastic resonance（FRSR）,the method can automatically adjust bistable system structure parameters and sampling frequency in order to obtain SR in detection high-frequency signal.The proposed method is verified with simulation signal.The results show that Frequency-shifted and Re-scaling Adaptive Stochastic resonance（FRASR） system can be used to detect high-frequency period signal submerged in strong noise.FRASR can find SR and improve the output RSN automatically,and have better application prospects.