基于联合压缩感知重构的网络通信故障检测系统设计
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云南省互联网应急中心,北京邮电大学

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Design of Network Communication Fault Detection System Based on Joint Compressed Sensing Reconfiguration
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    摘要:

    针对当前故障检测系统检测网络通信故障信号时存在不精准的问题,设计了基于联合压缩感知重构的网络通信故障检测系统。结合联合压缩感知理论,设计系统总体结构。选用光时域反射仪F7高端电信级光缆故障光纤测试仪OTDR作为系统硬件,依据工作原理,判断通信网络传输特性,设置菜单按钮,缩放、等比、还原检测出的波形。采用AD8066型号低噪声放大器,设计电流电压转换电路,在反馈电阻两端并联一个电容以抑制噪声,并利用单色驱动器24-40W激光驱动器为激光电源提供电流,使脉冲信号转换为电信号。在J2SE平台下,设计中心服务功能,通过激光驱动发射正脉冲,使格雷互补码偏置到峰值的一半左右,实现格雷互补码在OTDR中应用,依据系统检测流程,完成网络通信故障检测。系统性能测试结果表明,基于联合压缩感知重构检测系统对网络通信故障信号检测结果较为精准,误差最大为0.3dB,为网络运行维护奠定基础。

    Abstract:

    Absrtact: Aiming at the inaccuracy of the current fault detection system when detecting the network communication fault signal, a network communication fault detection system based on joint compressed sensing reconstruction is designed. Combined with the theory of joint compressed sensing, the overall structure of the system is designed. The optical time domain reflectometer F7 high-end carrier-grade optical cable fault optical fiber tester OTDR is selected as the system hardware. According to the working principle, the transmission characteristics of the communication network are judged, the menu button is set, the zoom, the equal ratio, and the detected waveform are restored. The AD8066 low noise amplifier is used to design a current-to-voltage conversion circuit. A capacitor is connected in parallel across the feedback resistor to suppress noise, and a 24-40W laser driver is used to supply current to the laser power source to convert the pulse signal into an electrical signal. Under the J2SE platform, the design center service function transmits a positive pulse through the laser drive, and the Gray complementary code is biased to about half of the peak value. The Gray complementary code is applied in the OTDR, and the network communication fault detection is completed according to the system detection process. The system performance test results show that the detection result of the network communication fault signal based on the joint compressed sensing reconstruction detection system is more accurate, and the error is 0.3dB, which lays a foundation for network operation and maintenance.

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李沛林.基于联合压缩感知重构的网络通信故障检测系统设计计算机测量与控制[J].,2020,28(7):50-54.

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  • 收稿日期:2019-10-25
  • 最后修改日期:2019-10-25
  • 录用日期:2019-11-19
  • 在线发布日期: 2020-07-14
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