摘要
针对实际探测的弱信号常常是多个频率弱信号共存的的情形,进行了利用随机共振检测多频周期性弱信号的研究,以便把利用随机共振的弱信号检测应用于信息处理中微弱信息识别与提取。数值计算结果表明,在适当调节系统参数的情况下,强同频噪声下的多频周期性弱信号经过非线性双稳态系统后,相差不超过一个数量级的几个低于0.5Hz的不同频率的弱信号都可以同时发生随机共振而被检测出来,其信噪比改善十分明显,可以提高30dB以上。该方法在信息识别与信息处理方面具有潜在的应用价值。
Aiming at the actual case that there are several signals synchronously with different frequency in the detected signal frequently, the study of detecting multi-frequency weak signal by the stochastic resonance is performed in this paper, so as to recognize and extract weak information in the information processing using weak signal detection technology based on stochastic resonance. The results of numerical calculation show that, when the multi-frequency weak signal submerged in heavy noise background pass through the nonlinear bistable system, the weak signals with different frequency that is less than 0. 5 Hz and in same magnitude can be extracted by stochastic resonance under properly adjust the system parameters, and the signal to noise ratio of output signal is improved clearly and increased more than 30 dB. This method has the potential application in the information recognition and information processing.
出处
《吉林大学学报（信息科学版）》
CAS
2007年第1期68-72,共5页
Journal of Jilin University（Information Science Edition）
基金
黑龙江省自然科学基金资助项目(A2004-06)
关键词
随机共振
多频弱信号检测
信噪比
数值计算
stochastic resonance
detection of multi-frequency weak signal
signal to noise ratio
numerical calculation
