网络维护过程异常干扰信号优化检测仿真

摘要

在网络维护过程中的异常干扰信号的检测,能够有效提高网络使用寿命,加快网络维护过程.对异常干扰信号的优化检测,需要将滤波粒子当作萤火虫,计算萤火虫的吸引度并对权值进行更新.传统方法构建网络状态异常信号的检测模型,利用遗传法优化回声状态网络中的参数,但忽略了对参数权值的求取,导致检测精度偏低.提出基于萤火虫的异常干扰信号优化检测方法.以干扰信号的时域为基础,构建基于熵的异常干扰信号检测器;获得干扰信号的检测门限值,得到异常干扰信号的预处理结果;利用萤火虫法对粒子群进行初始化,并对粒子的当前权值进行计算;将滤波粒子当作萤火虫,对萤火虫的吸引度进行计算,更新萤火虫当前位置,并对权值进行更新,完成网络维护过程异常干扰信号的检测.实验表明,上述方法可有效提高干扰信号检测效果,也减少了干扰检测过程能耗,可为网络维护发展提供依据.%An optimization and detection method for abnormal interference signal based on firefly is proposed.On the basis of time domain of interference signal,the detector of abnormal interference signal based on entropy is established.So that the detecting threshold of interference signal and preprocessing results of abnormal interference signal are obtained.Then,the firefly method is used to initialize particle swarm and calculate the current weight of particles.The filtered particle is treated as the firefly,then the attractiveness of firefly is calculated.Moreover,the current position of firefly and the weight value are updated.Finally,the detection of abnormal interference signal in the process of network maintenance is completed.Experimental results show that this method can effectively improve the detection effect of interference signals and reduce the energy consumption in the process of interference detection,which can provide a basis for the development of network maintenance.