Abstract: Aiming at the question that low efficiency and unable to meet the requirements of real-time signal processing, which uses stochastic resonance of non-liner bistable system one by one to detect multi-frequency weak signals, the multi-frequency weak signals detection at the same time is studied. The multi-frequency weak signals detection simulation model based on stochastic resonance principle is built, and the stochastic resonance effect of single-frequency weak signal is expanded to multi-frequency weak signal detection by adjusting the parameters of the system and noise intensity, the multi-frequency weak signals detection is realized simultaneously, and the characteristics and the causes of the test results are analyzed. The minimum frequency band interval between different frequency signals is researched. The system is applied to higher frequency weak signal detection by the parameter compensation method, and realizes multiple higher frequency weak signals detection. The simulation results show that this method is feasible, which can effectively improve the detection speed and efficiency.

Key words: stochastic resonance, multi-frequency weak signal, minimum frequency band interval, noise

摘要： 针对利用非线性双稳系统随机共振逐一检测多个频率弱信号存在效率低、无法满足信号实时处理要求的问题，研究了基于随机共振的多频弱信号同时检测方法。首先建立了同时检测多频弱信号的仿真模型，通过调节双稳态随机共振系统参数、噪声强度，将在单个低频弱信号上产生的随机共振效应扩展到多个低频弱信号上，实现了多个低频弱信号的同时检测，分析了检测结果所呈现出的特点、原因。进一步研究了多频弱信号同时检测时不同频率信号之间的最小频带间隔问题。采用参数补偿的方法将其扩展应用到高频弱信号的检测中，实现了多个高频弱信号的检测。仿真结果表明该方法是可行的，能有效提高信号检测的速度及效率。

关键词: 随机共振, 多频弱信号, 最小频带间隔, 噪声