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基于EMD分解的车辆振动识别
Vibration of Vehicle Recognition Based on EMD Decomposition
【摘要】 启动的车辆都将产生一定程度的微振动信息。这些微振动信息与发动机转速,车辆结构相关,对于给定的车辆,具有独特性。激光测振仪的应用,使得运用微振动信息实现远距离非接触式车辆目标自动识别变得可能。文中主要研究车辆的微振动特性,利用经验模态分解(EMD)提取车辆振动的特征函数。实验证明,该方式能有效的运用于车辆识别中。
【Abstract】 Vehicles with with its engine on will generate a degree of vibration.These vibrations differ based on rotational speed of engine and vehicle structure and as such they are unique. The availability of the vibrometry makes it possible to utilize this signature for remote automatic target identification. This paper research frequency domain characteristics of these vibrations by the method of EMD.The experiments shows that this method is availible.
【关键词】 激光探测;
车辆微振动;
EMD;
特征识别;
【Key words】 Laser detection; vehicle vibration; EMD; feature recognition;
【Key words】 Laser detection; vehicle vibration; EMD; feature recognition;
- 【文献出处】 电脑知识与技术 ,Computer Knowledge and Technology , 编辑部邮箱 ,2014年04期
- 【分类号】TN247
- 【下载频次】78