光纤传输通信设备异常信号自动跟踪方法研究

Research of Abnormal Signal Automatic Tracking Method for Optical Fiber Transmission Communication Equipment

在设备异常信号自动跟踪过程中,如果仍然利用传统方法对异常信号进行跟踪,则会直接影响追踪效果,因此以传统方法为基础设计新的信号自动跟踪方法。研究过程中需要利用干扰器对瞬时异常信号进行检测,并完成频率分类作业;通过算法对异常信号的具体特征信息进行有效提取,去除光纤传输通信设备的异常伪信号;利用滤波算法对粒子进行均匀分布,确保粒子信号的优化平衡;通过调制跟踪方法完成异常信号的自动跟踪。为了检测异常信号自动跟踪方法的具体效果,还需要通过仿真实验进行验证。经过验证,此次研究设计的自动跟踪方法可以有效追踪光纤传输通信设备的异常信号,提升了异常信号的追踪效果。

In the process of automatic tracking of equipment abnormal signals,if the abnormal signals are still tracked by traditional methods,the tracking effect will be directly affected.Therefore,a new automatic signal tracking method is designed based on the traditional methods.In the research process,it is necessary to use jammers to detect transient abnormal signals and complete the frequency classification operation.Effectively extract the specific characteristic information of abnormal signals through algorithm,and remove abnormal false signals of optical fiber transmission communication equipment.Use filtering algorithm to carry out particle analysis,the uniform distribution ensures the optimal balance of particle signals.The automatic tracking of abnormal signals is completed by the modulation tracking method.In order to detect the specific effect of the automatic tracking method of abnormal signals,it needs to be verified by simulation experiments.It has been verified that the automatic tracking method designed in this research can effectively track abnormal signals of optical fiber transmission communication equipment,and improve the tracking effect of abnormal signals.