随机共振参数的自适应调整策略与性能分析

Analysis on Stochastic Resonance Parameters Adaptive Adjusting

针对非线性随机共振技术受信号的幅度、频率、噪声强度和系统参数等因素的制约和影响,提出了一种快速、有效的随机共振系统参数自适应调整策略.对于输入信号和噪声的时变特性,新方法能自适应调节采样频率和系统参数,不仅有效防止了随机共振处理过程中的数据溢出,而且保证了对接收信号的最佳随机共振处理,使输出信噪比始终处于最大值.仿真结果验证了新方法的有效性.

Considering the stochastic resonance phenomenon is constrained and influenced by signal amplitude and frequency, noise intensity and system parameters, a fast and effective adaptive adjusting method for stochastic resonance （SR） parameters is proposed. The adaptive adjustment of the sampling frequency and system parameters for the time-varying input signal and noise not only can effectively pre- vent data overflow in SR process, but also can maintain the best signal processing performance and keep the output signal to noise ratio at the maximum value. Simulation demonstrates the validity of proposed method.