张康, 姜海明, 谢康. 基于多窗口识别的多波长光信号峰值实时检测系统[J]. 红外与激光工程, 2024, 53(5): 20240042. DOI: 10.3788/IRLA20240042
引用本文: 张康, 姜海明, 谢康. 基于多窗口识别的多波长光信号峰值实时检测系统[J]. 红外与激光工程, 2024, 53(5): 20240042. DOI: 10.3788/IRLA20240042
Zhang Kang, Jiang Haiming, Xie Kang. Real-time peak detection system for multi-wavelength optical signals based on multi-window recognition[J]. Infrared and Laser Engineering, 2024, 53(5): 20240042. DOI: 10.3788/IRLA20240042
Citation: Zhang Kang, Jiang Haiming, Xie Kang. Real-time peak detection system for multi-wavelength optical signals based on multi-window recognition[J]. Infrared and Laser Engineering, 2024, 53(5): 20240042. DOI: 10.3788/IRLA20240042

基于多窗口识别的多波长光信号峰值实时检测系统

Real-time peak detection system for multi-wavelength optical signals based on multi-window recognition

  • 摘要: 波分复用(Wavelength Division Multiplexing, WDM)作为光纤通信系统的核心技术之一,为多个波长光信号的复用和传输提供了强有力的解决方案,对复用光信号的解复用和识别是WDM系统需解决的重要问题之一。文中研制了一种针对多波长光信号峰值的实时检测系统,用于实时检测多波长光信号的峰值功率。首先,设计并研制了光纤法布里-珀罗可调谐滤波器(FFP-TF)的驱动控制器和微弱光信号探测器,分别控制FFP-TF的驱动电压使其滤出特定波长的光信号和对滤出光信号的功率进行实时探测;其次,对于光电探测器中实时探测的光信号功率,设计了一种基于多窗口识别的峰值检测方法,使用三个针对波形不同位置的数据筛选窗口,根据实时检测数据来识别波形的变化趋势从而得到峰值强度与位置,进而计算出对应的光信号峰值强度。实验结果显示,所研制的实时检测系统实现了对多波长光信号的实时检测以及峰值的识别,光信号检测强度范围为0~−60 dBm,识别速度较快,对于准周期或周期的多波长光信号的识别具有良好的识别效果。

     

    Abstract:
      Objective  Wavelength Division Multiplexing (WDM) is one of the core technologies in fiber optic communication system. In WDM system, a number of optical signals with different wavelengths are transmitted simultaneously in a single optical fiber, realizing the multiplexing of the optical signals, and solving a series of problems in large-capacity, high-speed data transmission. At the receiving end of WDM system, the multiplexed optical signals are demultiplexed into a series of single wavelength optical signals, then further detected and identified to usually obtain the peak values of the signals for the next applications. Generally, the peak value of the target single-wavelength optical should be detected and identified in real time. For this purpose, we designed and developed a real-time peak detection system for multi-wavelength optical signals based on multi-window recognition, which realizes the detection and recognition of the peaks for the multi-wavelength optical signals.
      Methods  This work proposes a real-time peak detection system for multi-wavelength optical signals based on multi-window recognition. The optical demultiplexing part uses an Fiber Fabry-Perot Tunable Filter (FFP-TF) to filter out the target single-wavelength signal from the multiple-wavelength optical signals. The driving and controlling circuit of FFP-TF and the low-noise weak optical signal conversing and detecting circuit are designed. The former is used to drive and control the FFP-TF to filter out the optical signals of the target wavelengths and the latter detects and converts the power intensity of the optical signals in real time. The detected optical signal power is converted into voltage intensity. Then the peak position and intensity in the voltage waveform are identified by using a method based on multi-window waveform identification. At last, the corresponding peak intensity and wavelength position of the optical signal waveform is obtained. The system realizes the filtering of the target wavelength optical signal, and the detecting and identifying of the peak intensity in the signal waveform at the target wavelength.
      Results and Discussions  Firstly, a standard spectrometer is used to detect the optical signal waveform of the experiment light source. The results are illustrated (Fig.11). Secondly, the detection system proposed and developed in this work is used to determine the same experiment light source. The comparison of the results measured by the standard spectrometer and by the detection system proposed and developed in this work is shown (Fig.12). The corresponding data to Fig.11-12 are shown (Tab.1). It can be seen that the peak points of the signal waveform obtained respectively from the standard spectrometer and the detection system proposed and developed in this work agree very well. The measurement variation of the peak intensity obtained from the detection system is less than 0.01 dBm and the recognition time is less than 3 s. More experiment results illustrated in Fig.13 show that the detection range of the system proposed and developed in this work is 0-−60 dBm.
      Conclusions  In this work, a real-time peak detection system for multi-wavelength optical signals based on multi-window recognition is proposed and developed. The driving voltage of the FFP-TF is controlled to filter out the target wavelength optical signal and the weak optical signal detection circuit converts the target wavelength optical signal into a normal range of voltage. Then the multi-window waveform peak recognition method is used to identify and record the signal peaks in the waveform. The optical signals of different powers from narrowband light source are tested. The results show that the waveforms of the original optical signal and the detected one by the system is consistent. The measurement variations of peak intensity is less than 0.01 dBm, the recognition speed is less than 3 s, and the minimum detectable power of optical signal is as low as -60 dBm.

     

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