中文摘要：

针对系统输入端待测信号为低频与中高频情形,分别建立了多频信号的自适应随机共振检测方法,即通过分析待测输入信号的频率特性和信号并行输入个数,对于低频信号,固定步长,自动调节系统参数;对于中高频信号,利用外加周期信号的频率,选取合适的测量指标来衡量随机共振现象的发生,并且寻求最优系统参数,在随机共振输出信号频域中提取待测信号的频率.与传统的自适应随机共振信号检测方法相比,采用色噪声,更符合实际背景,更精确地提取待测信号的频率.仿真结果与分析的一致,表明方法有效可行,有良好的应用前景.

英文摘要：

According to the given system input signals of low or high frequency, this paper puts forward a multi- frequency signal adaptive stochastic resonance detection method, which is, first analyzing the frequency characteristics and the parallel number of the input signals, then for low frequency signals, fixing their step size and adjusting system parameters automatically, and for middle or high frequency signals, based on the frequency of the periodic signals to select the most appropriate indicators to measure the stochastic resonance phenomenon, finding the most optimized system parameters and extracting the frequency of the given signals in the frequency domain of the stochastic resonance output signals. Compared with the traditional adaptive stochastic resonance signal detection methods, it not only im proves the work efficiency, but also uses the color noise which is more consistent with the actual background, and thus results in more accurate extraction of the measured signal frequency. The consistency between the simulation results and analysis shows that this method is effective and feasible, which would have a good application prospect in the future.