摘要
本文将随机共振原理应用于噪声背景中的微弱信号检测作为研究对象,对双稳态非线性系统进行了随机共振参数自适应调节方法的研究。在此基础上,设计了基于参数调节的双稳态随机共振及其自适应控制的硬件电路系统,并提出了基于本电路系统的一种简单的自适应算法,完成了计算流程及其程序的编写。通过输入模拟工程实际的带噪信号,输出信噪比(SNR)得到了明显提高,验证了此方法用于微弱信号检测的有效性。
This paper takes stochastic resonance principle applied to weak signal detection in background noise as the object for the study. And we studied an adaptive adjusting approach for the stochastic resonance parameters of bistable nonlinear system. Based on this study, first we designed the hardware circuit system of bistable stochastic resonance and adaptive control based on parameter adjustment, and then proposed a simple adaptive algorithm based on this circuit system; lastly completed the calculation process and wrote the related programs. When the signal with noise that simulates actual engineering situation is entered the system, the signal-to-noise ratio (SNR) of the system output has obviously improved, which proves the effectiveness of the method in weak signal detection.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2007年第10期1787-1791,共5页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(60572052)资助项目
关键词
随机共振
微弱信号
检测
自适应
stochastic resonance (SR)
weak signal
detection
adaptive