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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.
Aiming at the restriction and influence of the signal’s amplitude, frequency, noise intensity and system parameters of nonlinear stochastic resonance technique, a fast and effective adaptive adjustment method of stochastic resonance system parameters is proposed. For time-varying input signals and noise The new method can adaptively adjust the sampling frequency and system parameters, which not only effectively prevent the data from overflowing in the process of stochastic resonance, but also ensure the best stochastic resonance of the received signal and keep the output signal to noise ratio at the maximum. The simulation results verify the effectiveness of the new method.