李小娟,吴亚非.基于背景噪声信号标准化的光纤振动信号检测算法研究[J].光电子激光,2018,29(12):1297~1304 |
基于背景噪声信号标准化的光纤振动信号检测算法研究 |
Research on optical fiber vibration signal detection algorithm based on background noise signal standardization |
投稿时间:2018-04-16 |
DOI: |
中文关键词: OFPS 有害入侵 CFAR IID、Non-IID 标准正态化 |
英文关键词:OFPS harmful intrusion CA-CFAR normalization non-IID |
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中文摘要: |
光纤预警系统(OFPS)常应用于监测石油、天然 气管道泄露等灾害的发生,其通过对采集的振动 信号进行分析处理来判定是否存在外来有害入侵。目前该领域的研究热点主要聚焦于采用恒 虚警(CFAR) 及其衍生算法实现检测入侵信号的研究探索,然而该方法的性能常受限于实际信号的分布特 点。本文对采 集信号进一步研究发现背景噪声通常服从非独立同分布(Non-IID)。针对这一实际信号分 布特性,本文提 出一种基于背景噪声标准正态化CFAR的光纤振动信号检测方法,通过对实际Non-IID背景噪 声数据设计 高通滤波器获取其表征特性,并利用该数据特性将背景噪声转换为服从标准正态IID信号, 然后,基于标 准正态化数据,采用高效的CA-CFAR可实现对实际振动信号的有效检测。最后本文通过仿真 实验以及多 次实际实验,结果显示该算法能够有效实现对入侵信号的检测,从而验证了该算法的有效 性。 |
英文摘要: |
This paper presents an algorithm to realize the detection and recognit ion of the optical fiber intrusion signals.It is decomposed and mapped on the embedded processor c onsisting of FPGA and DSP according to the processing time and operation characteristics of the al gorithm.The treatment process is divided into three parts.Firstly,with the original signals using 3Hz high-pass filtering,the high-pass filtered signal is divided into two parts respectively by two DSPs in parallel processing to save time cost,and all subsequent operations are in a pa rallel mode.The filtered data are standardized and compared with the detection threshold.If th e result is greater than the threshold,the signal is judged as vibration signal and marked as 1,if not,judged as the false alarm and marked as 0,and then the single path detection results are o btained.Then the data used for recognition are extracted based on the above detection results .Finally,the data input recognition module is used for feature extraction of mechanical,walk ing and digging signals,and the recognition results are obtained.The experimental results show that the algorithm can effectively detect and recognize the optical fiber intrusion signa ls,improve the operation speed and satisfy the real-time performance request of the OFPS to de tect and recognize the signal type. |
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