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基于阈上随机共振现象的弱信号检测
引用本文:龙慧,李宏,滑瑞霞.基于阈上随机共振现象的弱信号检测[J].微处理机,2011,32(4):25-27,30.
作者姓名:龙慧  李宏  滑瑞霞
作者单位:1. 西北工业大学电子信息学院,西安,710129
2. 西安电子科技大学电子工程学院,西安,710071
摘    要:为了说明当信号幅值处于系统阈值上时,噪声依然对信号起到增强作用,研究了加和网络模型中的随机共振现象,并且将该模型作为线性检测器的预处理器以构成非线性检测器,来进行对弱信号的检测研究。在搭建的非线性检测器中采用奈曼皮尔逊准则对信号做出判决。仿真结果表明:在加和网络模型中观察到了阈上随机共振现象,且非线性检测器的检测性能明显优于线性检测器。这为强噪声环境中提高弱信号检测问题开辟了一条新思路。

关 键 词:阈上随机共振  非高斯噪声  非线性检测器

Weak Signal Detection Based on Suprathreshold Stochastic Resonance
LONG Hui,LI Hong,HUA Rui-xia.Weak Signal Detection Based on Suprathreshold Stochastic Resonance[J].Microprocessors,2011,32(4):25-27,30.
Authors:LONG Hui  LI Hong  HUA Rui-xia
Affiliation:LONG Hui1,LI Hong1,HUA Rui-xia2(1.School of Electronics & Information,Northwestern Polytechnical University,Xi'an 710129,China,2.School of Ectronic Engineering,XiDian University,Xi'an 710071,China)
Abstract:In order to illustrate when the signal amplitude is higher than the system threshold,the noise also can play an enhance role for the signal.So this paper studies the stochastic resonance phenomenon in the parallel array mode,and introduces a nonlinear detector,which can detect the weak signal based on the parallel array model as a pre-processor of linear detector.The paper employs the Neyman-Pearson detection strategy to decision.The experiment simulations show that the suprathreshold stochastic resonance p...
Keywords:Suprathreshold stochastic resonance(SSR)  Non-Gaussian noise  Nonlinear detector  
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