Intelligent Knowledge Modeling and Distributed Database Constructing for Intelligent Radar Countermeasure

Intelligent radar countermeasure are the current development trend in the field of radar countermeasure. Knowledge modeling can support the whole process of radar countermeasure. It can not only provide prior knowledge for the countermeasure system but also dynamically update the generated new knowledge. To deal with the rapidly growing mass of knowledge in the knowledge base system, the use of a distributed architecture can ensure the stability of the knowledge base. At present, there are two difficulties in the construction of a knowledge base system in radar countermeasure. First, it is difficult to construct a comprehensive representation for multiple data sources and complex counter-targets. Second, the massive data and knowledge gives huge pressure for storage. To deal with the above problems, we systematically design a hierarchical dynamic knowledge base as well as several sub-databases based on the specific application of intelligent radar countermeasure. Furthermore, the distributed database based on the architecture of Mycat is constructed, which relieves the pressure on storage, reading and writing, as well as the crash risk of a single machine. We have demonstrated the performance of the distributed knowledge base.