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微弱电信号检测方法回顾

A review on weak electrical signal detection

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【作者】 赵吉祥陈超婵王欢陆福敏桑昱

【Author】 ZHAO Ji-xiang1,CHEN Chao-chan1,2,WANG Huan3,LU Fu-min2,SANG Yu2(1.Institute of Signal and Information Processing,China Jiliang University,Hangzhou 310018,China;2.Shanghai Institute of Measurement and Test Technology,Shanghai 201203,China;3.Faculty of Information Technology,Macau University of Seience and Technology,Macau,China)

【机构】 中国计量学院信息工程学院上海计量测试技术研究院澳门科技大学资讯科技学院

【摘要】 系统分析了微弱电信号检测的理论和技术,着重讨论了强噪声背景下微弱电信号现有检测方法的优缺点及应用.以线性和非线性为主线,将线性分析法按时域(相关检测法、锁定放大、取样积分、数字式平均、时域平均)、频域(功率谱法)以及时频域(小波变换谱分析、分数谱分析)检测方法进行梳理归类,而对于非线性分析法主要分析了高阶谱、神经网络、支持向量机、经验模式分解、混沌理论、差分振子以及随机共振方法.最后认为,多种理论与技术的结合以及借助软件技术,如LabVIEW,是弱信号检测的发展趋势.

【Abstract】 A review on the theories and techniques for weak electrical signal detection.It put great emphasis on the weak electrical signal that was buried in strong noise.The route that was arranged in the paper based on the property of the system that was linear or nonlinear.The linear system was divided into time domain method which contained correlate detection,lock-in amplifier,sampling integrator,digital multipoint average and time averaging method,frequency domain method which pays attention to the power spectrum analyzing,and time-frequency domain method including wavelet analysis and fractional Fourier transform.The nonlinear system introduced higher order spectrum,neural networks method,chaos theory,difference resonator and stochastic resonance.The tendency of weak signal detection is towards the combined methods mentioned above and with the help of professional software such as LabVIEW.

【关键词】 微弱信号强噪声检测方法
【Key words】 weak signalstrong noisedetection
  • 【文献出处】 中国计量学院学报 ,Journal of China University of Metrology , 编辑部邮箱 ,2009年03期
  • 【分类号】TN911.23
  • 【被引频次】39
  • 【下载频次】1267
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