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中文摘要：
本文从随机共振(Stochast ic Resonance)可增强信号信噪比的现象出发,介绍了随机共振非线性双稳势阱模型和参数调节随机共振理论。在此基础上,分析了随机共振现象在微弱信号接收中两种可能的应用途径,通过仿真验证了应用的可行性。最后,分析提出了将随机共振理论应用于弱信号接收需要突破的三大关键技术,即:大参数信号变尺度与还原技术、参数自适应调节技术和调制信号随机共振技术,还提出了初步解决的思路。为拓宽随机共振现象的应用领域和探究解决低信噪比条件下的信号接收提供新的方法和途径。
英文摘要：
On the basis of the phenomenon that Stochastic Resonance (SR) can enhance the signal noise ratio (SNR), the Stochastic Resonance nonlinear Bistable-well model and parameter-induced Stochastic Resonance theory are introduced in this paper. Moreover, two weak signal receiving methods based on Stochastic Resonance are analyzed and simulation results are given. In addition, three key techniques including the scale-transforming SR algorithm, the adaptive parameter-adjusting SR algorithm and the SR algorithm for modulated signal are proposed. The elementary solving ideas are also put forward. The related researches will broaden the application area of Stochastic Resonance and provide novel ways for weak signal receiving under very low signal noise ratio circumstance.
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