| 一种低复杂度振动信号检测分类算法 |
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| 引用本文： | 林振华,李宝清,魏建明,邢涛,刘海涛.一种低复杂度振动信号检测分类算法[J].数据采集与处理,2010,25(6). |
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| 作者姓名： | 林振华 李宝清 魏建明 邢涛 刘海涛 |
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| 作者单位： | 中国科学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; |
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| 基金项目： | 国家高技术研究发展计划("八六三"计划)，上海市科委科技攻关基金 |
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| 摘 要： | 低复杂度的振动信号常规峰度检测算法只能检测人员入侵行为,不能检测车辆入侵行为.根据噪声数据与车辆入侵数据特点,结合时间窗和马尔柯夫过程概念,提出了基于改进峰度的振动信号检测分类算法.该算法引入背景噪声的平均能量,利用包含比例因子P和异常突变阈值r的分段函数代替信号能量,可以避免毛刺信号干扰,检测并区分人员入侵和车辆入侵而不需要任何先验条件.试验表明,该算法具有复杂度低,资源要求低,漏警率低的特点.
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| 关 键 词： | 传感网 振动信号 检测分类 峰度 |
Algorithm for Vibrating Signal Detection and Classification with Low Complexity |
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| Lin Zhenhua,Li Baoqing,Wei Jianming,Xing Tao,Liu Haitao.Algorithm for Vibrating Signal Detection and Classification with Low Complexity[J].Journal of Data Acquisition & Processing,2010,25(6). |
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| Authors: | Lin Zhenhua Li Baoqing Wei Jianming Xing Tao Liu Haitao |
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| Affiliation: | Lin Zhenhua,Li Baoqing,Wei Jianming,Xing Tao,Liu Haitao(Shanghai Institute of Microsystem and Information Technology,Key Laboratory of Wireless Sensor Network& Communication,Chinese Academy of Sciences,Shanghai,200050,China) |
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| Abstract: | A conventional kurtosis algorithm for the vibrating signal is low-complexity.It does not affect vehicle intrusion detecting but only human intrusion detecting.Combined with the timing window and the Markov process,an improved algorithm based on the principle of kurtosis is proposed.The algorithm adopts the average energy of background noise replaces the signal energy with the piecewise function contain of the scale factor p.And the abnormal mutation threshold r can avoid the glitch signal interference and c... |
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| Keywords: | sensor network vibrating signal detection and classification kurtosis |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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