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应用随机共振进行海洋噪声背景下的信号检测 被引量:5

Signal detection via stochastic resonance under background of sea noise
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摘要 通过对海洋噪声特性的研究,将其理想化为一个Lorentz色噪声和若干拟周期干扰成分的混合,继而基于参数调节随机共振理论的结果对系统参数进行优化,对系统输出应用后处理方法,形成一套完整的信号处理方法.数值仿真表明,随机共振处理结果优于低通滤波器的处理结果,随机共振系统处理宽带随机干扰情况有优势. Study of the characteristics of sea noise shows that it is approximately a combination of Lorentzian colored noise and some quasi-harmonic components. The theoretical results of parameter-tuning stochastic resonance (SR) are used to optimize the system, and post treatments are used on the system output. The simulation example show that the result of SR is better than that of a lowpass filter. SR is valuable in signal detection because it can reduce all frequency components of noise in a broad band.
机构地区 浙江大学力学系
出处 《浙江大学学报(工学版)》 EI CAS CSCD 北大核心 2004年第5期640-643,共4页 Journal of Zhejiang University:Engineering Science
基金 国家自然科学基金资助项目(60272035) 浙江省自然科学基金资助项目(601089).
关键词 随机共振 信号检测 海洋噪声 模拟信号 Computer simulation Fast Fourier transforms Gaussian noise (electronic) Noise abatement Nonlinear systems Signal detection
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参考文献7

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