随机共振应用于窄带PSK信号检测的研究

非线性随机共振系统能够有效利用噪声能量增强微弱周期信号，因此可用于强噪声背景下的微弱通信信号检测。本文提出基于人工鱼群算法的自适应随机共振方法处理相移键控(PSK)信号，分别从算法应用于参数估计、应用于提高带内信噪比、应用于降低检测信噪比门限三个角度分析本文算法对PSK信号检测带来性能上的提升，阐述了采样率在窄带PSK信号随机共振中的作用。对比谱线法，基于人工鱼群算法的自适应随机共振能够明显提升PSK信号参数估计性能，并且将参数估计信噪比门限降低3-6dB。此外，本文验证得到随机共振直接处理窄带周期信号没有实际提升效果。 

Application of Stochastic Resonance in Narrow-band PSK Signal Processing

The phenomenon that noise enhancing weak period signals in Non-linear stochastic resonance systems can be utilized detecting weak communication signals in strong noise background. A new method of adaptive stochastic resonance based on artificial-fish swarm optimization is proposed to handle narrow band PSK signals in this article. The promotions in PSK signal processing are introduced in three aspects: Application in narrow band PSK signals parameter estimation, optimizing the performance of the SNR threshold to detect narrow-band PSK signals and improvement in band signal to noise ratio (SNR) of PSK signals. The influence of sampling rate in stochastic resonance of the narrow-band PSK signals is exposed in this article.The result of theoretical analysis and simulation experiments show this method of adaptive stochastic resonance based on artificial fish swarm optimization handling PSK signals can give evident promotion in the performance of parameter estimation and lower the detecting SNR threshold by 3~6 dB on contrast to traditional methods based on spectral lines. Besides, it has good convergence performance. Meanwhile, stochastic resonance is verified useless in detecting narrow band PSK signals directly.