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强噪声背景下的微弱信号检测新方法
引用本文:韦艳冰,陆绮荣,黄彬,高冬美. 强噪声背景下的微弱信号检测新方法[J]. 噪声与振动控制, 2011, 31(1): 95-98. DOI:  
作者姓名:韦艳冰  陆绮荣  黄彬  高冬美
作者单位:(桂林理工大学 机械与控制工程学院, 广西 桂林 541004 )
基金项目:广西自然科学基金,广西研究生教育创新计划项目
摘    要:提出了新的强噪声背景下的微弱信号检测方法,设计了一种硬件与软件相结合的实现方案。采用经典的仪表放大技术和单片机控制技术对数据进行检测和处理,并通过虚拟仪器技术仿真和显示,为解决热释电红外探测器中µA级微弱信号的检测提供了十分有效的方法。该系统通过实验对模拟低频微弱信号的检测,充分显示了它在微弱信号检测方面的实用性和优越性。

关 键 词:声学  强噪声背景  红外探测器  微弱信号  仪表放大  信噪比  虚拟仪器  
收稿时间:2010-04-13
修稿时间:2010-06-02

New Method of Weak Signal Detection with Strong Noise Background
WEI Yan-bing,LU Qi-rong,HUANG Bing,GAO Dong-mei. New Method of Weak Signal Detection with Strong Noise Background[J]. Noise and Vibration Control, 2011, 31(1): 95-98. DOI:  
Authors:WEI Yan-bing  LU Qi-rong  HUANG Bing  GAO Dong-mei
Affiliation:( School of Mechanical and Control Engineering, Guilin University of echnology, Guilin Guangxi 541004, China )
Abstract:A new method for weak signal detection with strong noise background is proposed.A scheme which combines hardware with software for realization of this method is designed.In this method,the signals are detected and processed using the classical instrument magnifying technique and single-chip microcomputer control.By means of virtual instrumentation simulation and display,this design provides effective methods to detectμA-level weak signal in pyroelectric infrared detector.Through the experiment of artificial low-frequency weak-signal detection,the system fully reveals its practicality and superiority in the field of weak signal detection.
Keywords:acoustics  strong noise background  Infrared detector  weak signal  Instrument magnifying  SNR  virtual Instrument
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