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。 Aiming at the problem that the traditional non-stationary time-varying singular spectrum pulse detection method can not accurately detect or detect the abnormal data in the laser communication network with large interference in the distributed network, the fourth-order cumulant post-path Abnormal data detection algorithm in the searched laser communication network. The communication channel model is constructed and the anomaly data time series analysis and signal model construction in the laser communication network are constructed. The averaging filter is used to filter the interference noise, and the forward and backward local optimal paths are searched for the output filtered data. Improve the detection algorithm. The simulation results show that using this algorithm to detect abnormal data in the laser communication network has good spectral gain and obvious beam directivity, which shows that the detection accuracy is high. Monte Carlo experimental analysis shows that the accuracy of this method is higher than Traditional method