随机共振方法在微弱周期信号检测中的应用  

Application of Stochastic Resonance for Detecting Weak Periodic Signals

作　　者：马中存[1] 张永祥[1] 

机构地区：[1]海军工程大学船舶与动力学院

出　　处：《船海工程》2010年第5期99-101,共3页Ship & Ocean Engineering

摘　　要：在随机共振理论基础上,以非线性双稳态系统为研究对象,以强噪声背景下微弱信号检测的实际需要为出发点,探讨基于随机共振的微弱信号检测方法。将该方法用于强噪声背景微弱周期信号检测,理论分析和数值仿真表明,该方法简单、稳健、可靠,验证了在短数据条件下微弱周期信号检测的有效性。Based on the stochastic resonance（SR） theory,taking a nonlinear bi-stable system as research object,the method of weak signal detection based on SR was discussed for the weak singles need to be detected in a strong background noise.This method was applied to detect the weak frequency component signals in the strong noise background.The theoretical analysis and numerical simulation indicated that this method is simple,robust and reliable.The result showed that the weak sinusoid signal of lower signal-to-noise ratio can be effectively extracted from heavy noise when the data length is short.

关 键 词：随机共振 微弱信号检测 数值仿真 

分 类 号：U664.1[交通运输工程—船舶及航道工程]