基于海量频谱数据的电磁环境信息挖掘技术研究

Research on Electromagnetic Environment Information Mining Technology Based on Mass Spectrum Data

基于海量频谱数据开展电磁环境大数据分析挖掘技术研究,从频谱监测大数据中发现基于事件序列的频谱使用规律,对频谱的发展状况进行预测,并能够从频谱大数据中发现异常的频谱使用情况。基于网络的用频装备在通信过程中,通信链路拓扑和各通信节点的通信量有着潜在的规律性,通过对频谱监测大数据的深度挖掘,可以实现通信网络绘制与复现。

Based on the massive spectrum data,the research on the analysis and mining technology of electromagnetic environment big data is carried out,and the spectrum usage rule based on the event sequence is discovered from the large spectrum monitoring data,and the development status of the spectrum is predicted,and can discover the unusual frequency spectrum use situation from the frequency spectrum big data.In the communication process of network-based weapon equipment using frequency,the communication link topology and the communication volume of each communication node have potential regularity.Through the deep mining of the spectrum monitoring big data,the communication network can be drawn and reproduced.