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基于震动信号HHT的车辆分类
引用本文:林振华,李宝清,魏建明,刘海涛.基于震动信号HHT的车辆分类[J].计算机仿真,2010,27(3):281-285.
作者姓名:林振华  李宝清  魏建明  刘海涛
作者单位:中科院上海微系统与信息技术研究所,中国科学院无线传感网与通信重点实验室,上海,200050
基金项目:上海市科委科技攻关项目(07dz15011);;国家863计划项目(2006aa01z216)
摘    要:震动传感器是智能监控传感器系统的重要组成部分。震动信号是一种非线性非平稳信号。相比于传统的时频分析方法,对希尔伯特-黄变换是一种更有效地处理非平稳信号的时频分析方法。将希尔伯特-黄变换引入到车辆分类中,提取震动信号特征信息,利用经验模态分解(EMD)获得车辆行驶引起的地面震动信号的固有模态函数(IMF),通过选取的固有模态函数得到相应的希尔伯特谱,然后在希尔伯特谱的基础上根据谱峰对车辆进行分类。仿真测试结果表明方法具有很高的正确率。

关 键 词:震动信号  希尔伯特-黄变换  希尔伯特谱  车辆分类  

Hilbert-Huang Transform Based on Vibrating Signal for Vehicle Classification
LIN Zhen-hua,LI Bao-qing,WEI Jian-ming,LIU Hai-tao.Hilbert-Huang Transform Based on Vibrating Signal for Vehicle Classification[J].Computer Simulation,2010,27(3):281-285.
Authors:LIN Zhen-hua  LI Bao-qing  WEI Jian-ming  LIU Hai-tao
Affiliation:Key Laboratory of wireless sensor network & communication/a>;Shanghai institute of microsystem and information technology/a>;CAS/a>;Shanghai 200050/a>;China
Abstract:Vibrating sensor is an important component of intelligent monitoring system based on sensors.Vibrating signal is nonlinear and nonstationary.Hilbert-Huang transform is designed to work well for data that are nonstationary and nonlinear,and gives results much sharper than any of the traditional analysis methods in time-frequency-amplitude representation.Hilbert-Huang is adopted to vehicle classification.Using the empirical mode decomposition(EMD),the vibrating signal of vehicle moving is decomposed into a fi...
Keywords:Vibrating signal  Hilbert-Huang transform(HHT)  Hilbert spectrum  Vehicle classification
本文献已被 CNKI 维普 万方数据 等数据库收录!
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