| 微弱信号检测方法研究现状分析 |
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| 引用本文： | 夏均忠,刘远宏,冷永刚,葛纪桃.微弱信号检测方法研究现状分析[J].噪声与振动控制,2011,31(3):156-161. |
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| 作者姓名： | 夏均忠 刘远宏 冷永刚 葛纪桃 |
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| 作者单位： | 军事交通学院汽车试验中心 |
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| 摘 要： | 强噪声背景下微弱特征信号检测一直是工程应用领域的难题。本文系统的研究了基于线性理论的时域、频域、时频域和基于非线性理论的微弱信号检测方法，分析了各检测方法的基本原理和特点。时域检测法中主要分析了相关检测、取样积分与数字式平均、时域平均检测法；频域检测法中分析了最为常用的频谱分析法；时频分析法中主要分析了应用范围最广的短时Fourier和小波变换；基于非线性理论的检测法中重点分析了随机共振。分析认为基于非线性理论的微弱信号检测法、多种检测方法的结合是未来微弱信号检测的研究方向。
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| 关 键 词： | 微弱信号检测 时域 频域 随机共振 |
| 收稿时间： | 2010-9-6 |
| 修稿时间： | 2010-10-25 |
Analysis of Methods of Weak Signal Detection |
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| XIA Jun-zhong,LIU Yuan-hong,LEN Yong-gang,GE Ji-tao.Analysis of Methods of Weak Signal Detection[J].Noise and Vibration Control,2011,31(3):156-161. |
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| Authors: | XIA Jun-zhong LIU Yuan-hong LEN Yong-gang GE Ji-tao |
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| Affiliation: | XIA Jun-zhong 1,LIU Yuan-hong 1,LEN Yong-gang 2,GE Ji-tao 1(1.Automotive Engineering Department,Military Transportation University,Tianjin 300161,China 2.School of Mechanical Engineering,Tianjin University,Tianjin 300072,China) |
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| Abstract: | Weak characteristic signal detection embedded in strong noise background is a difficult problem in engineering applications.In this paper,the methods of weak signal detection in time domain,frequency domain,time-frequency domain based on linear theory and non-linear theory,are systematically studied.The basic principles and characteristics of these methods are analyzed.In the methods of correlation detection in the time domain,sampling integral,digital averaging and time averaging are analyzed;while in the ... |
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| Keywords: | vibration and wave weak signal detection time domain frequency domain stochastic resonance |
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