盛智勇,屈丹丹,张远,曲洪权.光纤入侵信号检测及识别算法的嵌入式实现[J].光电子激光,2018,29(3):287~297
光纤入侵信号检测及识别算法的嵌入式实现
Implementation of detection and recognition of optical fiber intrusion signals b ased on embedded platform
投稿时间:2017-08-03  
DOI:
中文关键词:  光纤入侵信号  现场可编程逻辑门阵列(FPGA)  数字信号处理(DSP)  信号识别  特性 提取
英文关键词:optical fiber intrusion signal  field-programmable gate array (FPGA)  digital s ignal processing (DSP)  recognition  feature extraction
基金项目:国家自然科学基金(61571014)和北京自然科学基金(4172017)资助项目 (北方工业大学 电子信息工程学院,北京 100144)
作者单位
盛智勇 北方工业大学 电子信息工程学院,北京 100144 
屈丹丹 北方工业大学 电子信息工程学院,北京 100144 
张远 北方工业大学 电子信息工程学院,北京 100144 
曲洪权 北方工业大学 电子信息工程学院,北京 100144 
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中文摘要:
      提出了一种光纤入侵信号检测及识别算法,并根据 算法的处理时间及运算特点分解映射在现场 可编程逻辑门阵列(FPGA)和数字信号处理(DSP)组成的嵌入式处理器上进行实现。处理 流程分为3部分:首先对原始信号进行3Hz高通滤波,将经过高通滤波后的信号平均分成两部分分别由 两块DSP板并行处理以节省时间开销,且后续所有操作均采用并行方式,将滤波后数据进行 标准化并与检测阈值进 行比较,大于阈值则判为振动并置1,否则置0,从而得到单路检测结果;然后根据上述检测 结果提取用于 识别的数据;最后将数据输入识别模块进行机械、走路和镐刨信号的特征提取并得出识别结 果。实验结果表明, 本文算法可以有效检测和识别光纤入侵信号,且提高了运算速度,满足了光纤预警系统(OFPS )对检测及识别信号类型的实时性要求。
英文摘要:
      This paper presents an algorithm to re alize the detection and recognition of the optical fiberintrusion signals.It is decomposed and mapped on the embedded processor consisting of field-programmabl e gate array (FPGA) and digital signal processing (DSP) according to the processing time and operati on characteristics of the algorithm.The treatment process is divided into three parts:firstly,the original signals use 3Hz high-pass filtering,the high-pass filtered signal is divided into two parts respectively by two DSP in parallel 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 thershold,the signal is judged as vibration siganl and marked as 1;if n ot,judged as the false alarm and marked as 0,and then the single path detection results are obtai ned.The data used for recognition is extracted based on the above detection resu lts.Finally,the data input recognition module is used for feature extraction of mechanical,walking,di gging signals, and the recognition results are obtained.The experimental results show that the algorithm can effectively detect and recognize the optical fiberintrusion signals,improve the operation speed and satisfy the real-time performance request of the optical fiber prewarning s ystem (OFPS) to detect and recongnize signal type.
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