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基于改進壓縮感知的缺損光纖Bragg光柵傳感信號修復(fù)方法

陳勇,  吳春婷,  劉煥淋

陳勇, 吳春婷, 劉煥淋. 基于改進壓縮感知的缺損光纖Bragg光柵傳感信號修復(fù)方法[J]. 電子與信息學(xué)報, 2018, 40(2): 386-393. doi: 10.11999/JEIT170424
引用本文: 陳勇, 吳春婷, 劉煥淋. 基于改進壓縮感知的缺損光纖Bragg光柵傳感信號修復(fù)方法[J]. 電子與信息學(xué)報, 2018, 40(2): 386-393. doi: 10.11999/JEIT170424
CHEN Yong, WU Chunting, LIU Huanlin. A Repaired Algorithm Based on Improved Compressed Sensing to Repair Damaged Fiber Bragg Grating Sensing Signal[J]. Journal of Electronics & Information Technology, 2018, 40(2): 386-393. doi: 10.11999/JEIT170424
Citation: CHEN Yong, WU Chunting, LIU Huanlin. A Repaired Algorithm Based on Improved Compressed Sensing to Repair Damaged Fiber Bragg Grating Sensing Signal[J]. Journal of Electronics & Information Technology, 2018, 40(2): 386-393. doi: 10.11999/JEIT170424

基于改進壓縮感知的缺損光纖Bragg光柵傳感信號修復(fù)方法

doi: 10.11999/JEIT170424
  • 1.

    (重慶郵電大學(xué)工業(yè)物聯(lián)網(wǎng)與網(wǎng)絡(luò)化控制教育部重點實驗室 重慶 400065) ②(重慶郵電大學(xué)光纖通信技術(shù)重點實驗室 重慶 400065)

基金項目: 

國家自然科學(xué)基金(61071117)，重慶市研究生科研創(chuàng)新項目(CYS17235)

A Repaired Algorithm Based on Improved Compressed Sensing to Repair Damaged Fiber Bragg Grating Sensing Signal

  • 1.

    (Key Laboratory of Industrial Internet of Things and Network Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)

  • 2.

    (Key Laboratory of Optical Fiber Communication Technology, Chongqing University, Chongqing 400065, China)

Funds: 

The National Natural Science Foundation of China (61071117), The Graduate Student Research Innovation Project of Chongqing (CYS17235)

  • 摘要: 光纖光柵傳感在實際的應(yīng)用中，存在采樣信號數(shù)據(jù)丟失問題，該文提出一種改進重構(gòu)算法的壓縮感知信號修復(fù)方法。根據(jù)缺損信號特征，選取與之匹配的觀測矩陣與稀疏字典?；趬嚎s感知重構(gòu)算法，提出匹配光纖布拉格光柵(FBG)信號特征的自適應(yīng)閾值函數(shù)，同時增設(shè)閾值判決條件。分析了信號修復(fù)與傳感測量精度的關(guān)系，采用重建信號的尋峰誤差來驗證信號的修復(fù)效果。仿真結(jié)果顯示，在FBG光譜數(shù)據(jù)缺失30%的情況下，恢復(fù)信號的平均相對誤差為10-6；均方根誤差為0.0707，比對比算法低0.0232~0.1159；且系統(tǒng)平均運行時間遠低于對比算法，表明采用該文算法修復(fù)缺損的FBG傳感信號具有較高的重構(gòu)精度與較好的實用性。
    Abstract: To solve the problem of data loss in the field of Fiber Bragg Grating (FBG) sensing, a signal repaired method based on compressed sensing with improved reconstruction algorithm is proposed. According to the characteristics of signal, the suitable observation matrix and sparse dictionary are selected to repair the damaged spectral signal. An adaptive threshold function, which is used to match the characteristics of signal, is proposed in the reconstruction algorithm, and the criterion of threshold rationality is added. The relationship between the recovery precision of signal and sensing accuracy of fiber Bragg grating is analyzed, and the repairing effects are validated by peak-detected error of reconstructed signal. Simulation results show that the average relative error is10-6 when 30% of the data is lost. The root mean square error is 0.0707, which is 0.0232~0.1159 lower than the contrast algorithms. The peak-detected error is lower than the others. Besides, the average running time of the system is much lower than the compared algorithms. All the results show that the proposed algorithm can well achieve the recovery of missing data, so as to improve the measurement precision of fiber Bragg grating sensor.
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  • 收稿日期:  2017-05-09
  • 修回日期:  2017-07-21
  • 刊出日期:  2018-02-19

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