基于粒子群算法的光纤通信干扰信号定位方法

Fiber-Optic Communication Interference Signal Localization Method Based on Particle Swarm Optimization

为解决传统光纤通信干扰信号定位误差大的问题,提出基于粒子群算法设计光纤通信干扰信号定位方法。通过获取光纤通信干扰信号,建立光纤通信干扰信号定位适应度函数,判断光纤通信干扰信号声源定位区域,从而实现光纤通信干扰信号定位。设计实例分析,结果表明,设计方法定位误差明显低于对照组,能够解决传统光纤通信干扰信号定位误差大的问题。

In order to solve the problem of large positioning error of traditional optical fiber communication interference signal,a method based on particle swarm algorithm to design optical fiber communication interference signal positioning is proposed.By acquiring the interference signal of optical fiber communication,the fitness function of positioning the interference signal of optical fiber communication is established,and the location area of the sound source of the interference signal of optical fiber communication is judged to realize the positioning of the interference signal of optical fiber communication.The design case analysis shows that the positioning error of the design method is significantly lower than that of the control group,which can solve the problem of large positioning error of traditional optical fiber communication interference signals.