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准确检测激光网络特定节点可实现网络故障的快速诊断和路由修复。针对特征节点检测的准确度不高的问题,提出一种基于小区域约束的激光网络特定节点检测技术。首先构建激光网络的节点分布模型,然后进行节点的区域覆盖度相关分布源特征分析,实现激光网络特定节点传输的数据异常特征提取,采用小区域约束方法进行特定节点的自适应标定和检测。最后进行仿真测试实现性能验证,结果表明,采用该方法进行激光网络特定节点检测的准确度较高,收敛性较好,具有较高的鲁棒性。
Accurate detection of a specific node in a laser network enables rapid diagnosis and routing of network faults. Aiming at the problem of low accuracy of feature node detection, this paper proposes a technique of detecting node-specific laser network based on small area constraints. Firstly, the node distribution model of laser network is constructed. Then, the source distribution of the node coverage is analyzed to extract the abnormal feature of the data transmitted by a specific node in the laser network. The method of small area constraint is used to calibrate and detect the specific node adaptively. Finally, the simulation test is carried out to verify the performance. The results show that this method has higher accuracy, better convergence and higher robustness.