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作 者:李丽冬 李静[2] 于玲[2] LI Lidong;LI jing;YU ling(Zhengzhou University of Industrial Technology,Xinzheng 451150,China;Liaoning University of Technology,Jinzhou 121000,China)
机构地区:[1]郑州工业应用技术学院,河南新郑451150 [2]辽宁工业大学,辽宁锦州121000
出 处:《激光杂志》2023年第7期132-136,共5页Laser Journal
基 金:河南省科技攻关项目(No.202100042001)。
摘 要:由于进行光纤布拉格光栅传感网络波长检测的过程中存在信号噪声,对波长检测结果产生影响,为此提出基于峰值匹配的光纤布拉格传感网络波长检测方法。利用频谱相关技术和数字滤波技术消除光纤布拉格光栅传感网络信号中的噪声,结合峰值匹配法和单阈值算法,将降噪后的信号峰值点与模板匹配,获取波长的位置信息,将位置信息输入到门控循环单元神经网络模型中训练学习,完成光栅布拉格光栅传感网络的波长检测。实验结果表明,所提方法的均方根误差小、平均绝对误差小、波长采集效果好、抗噪声能力强。Because there is signal noise in the process of fiber Bragg grating sensor network wavelength detection,which affects the wavelength detection results,a peak matching based fiber Bragg grating sensor network wavelength detection method is proposed.The spectrum correlation technology and digital filtering technology are used to eliminate the noise in the signal of fiber Bragg grating sensor network.The peak point of the signal after noise reduction is matched with the template by combining the peak matching method and the single threshold algorithm,and the position information of the wavelength is obtained.The position information is input into the neural network model of the gating cycle unit for training and learning,and the wavelength detection of the fiber Bragg grating sensor network is completed.The experimental results show that the proposed method has small root mean square error,small average absolute error,good wavelength acquisition effect and strong anti noise ability.
关 键 词:频谱相关技术 数字滤波 幅值比例模板 门控循环单元 正切双曲函数
分 类 号:TN98[电子电信—信息与通信工程]
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