激光通信网络中的异常数据检测方法研究  

Research on detection method of abnormal data in laser communication network

作　　者：罗黎霞[1] 

机构地区：[1]浙江农业商贸职业学院,浙江绍兴312088

出　　处：《激光杂志》2016年第10期133-136,共4页Laser Journal

基　　金：浙江省教育厅自然科学规划课题基金资助项目(2015C521102)

摘　　要：针对采用传统非平稳时变单谱脉冲的检测方法时,对分布网络干扰较大的环境下激光通信网络异常数据,不能准确检测或检测时间过长的问题,提出基于四阶累积量后置路径搜索的激光通信网络中的异常数据检测算法。构建通信信道模型,进行激光通信网络中的异常数据时间序列分析与信号模型构建,采用平均算子滤波器进行干扰噪声滤波,对输出的滤波数据进行前向局部和后向局部最优路径搜索,实现检测算法改进。仿真结果表明,采用本文算法进行激光通信网络中的异常数据检测,具有较好的频谱增益,波束指向性明显,说明检测的精度较高,Monte Carlo实验分析表明,该方法的准确检测概率高于传统方法。In view of the traditional non-stationary time detection method of the single pulse spectrum, the larger environment of distribution network interference laser communication network abnormal data, not accurate test or test time is too long. Based on fourth-order cumulant rear path search of laser communication in the network abnormal data detection algorithm. Build communication channel model, the abnormal data in time series analysis for laser communication network and signal model build, average operator filter is adopted to improve the interference noise filtering, the output of the filter to local before and after the data to the local optimal path search, realize detection algorithm is improved. Simulation results show that the abnormal data detection algorithm for laser communication network in this paper, has better spectral gain, beam directivity, shows that the detection accuracy is higher, Monte Carlo experiment analysis shows that the method of accurate detection probability is higher than the traditional method.

关 键 词：激光通信 异常数据 检测 干扰 

分 类 号：TN911[电子电信—通信与信息系统]