Research On Knowledge-driven Radio Regulation Theory And Key Technologies

Radio spectrum is the medium connecting land,sea,air,space and cyberspace,which is an important strategic scarce resource of the country.Due to the openness of radio wave propagation,radio services are very susceptible to interference.Therefore,governments around the world have strict regulations on how to use the radio in their countries,and designate functional departments responsible for radio monitoring and radio management.With the in-depth implementation of national strategies such as the digital economy,industrial Internet and new infrastructure construction,the deep integration of the new generation of information and communication technologies,represented by 5G and the Internet of Things,with the real economy has been accelerating.The booming development of new radio technologies,services and applications becomes an important engine for accelerating digital transformation in various industries and fields.At the same time,the electromagnetic environment is becoming more and more complex,radio interference incidents have been increasing year by year,and intelligent radio regulatory has received more and more attention.Knowledge-driven radio regulation provides an implementation path for intelligent radio regulatory,which emphasizes the intelligent acquisition of knowledge and the scientific decision-making support capabilities,and solves some key problems in traditional radio monitoring systems.From the application research of the radio regulation system,information system architecture,knowledge-driven model and intelligent radio regulation framework based on knowledge graph are designed.Meanwhile,radio monitoring methods based on radio services,fingerprint location algorithms for transmitters,knowledge acquisition algorithms based on rules are proposed.And the engineering verifications of above theory and key technologies have been realized.To sum up,the main research work of this thesis includes the following five aspects:1.A radio regulation system structure based on information system architecture was proposed,and successfully implemented in the Honghe State Border Radio Regulation Demonstration System(Phase I Project),which realized the interconnection,intercommunication and resource sharing among radio regulation systems,and laid the foundation for intelligent radio regulatory.2.With researching on different radio services and their own characteristics,radio monitoring methods based on radio services were proposed,and knowledge-driven radio monitoring model was designed.Then complete radio signal characteristic data were obtained,which made up for the deficiencies of the current radio monitoring system architecture and successfully used in Honghe State Border Radio Regulation System(Phase II Project).3.The hybrid architecture of cloud computing and edge computing,as well as the method for sensor nodes to obtain radio signals’ multidimensional data and knowledge were studied.Algorithms for radio monitoring knowledge acquisition based on rules were proposed,and the knowledge about application situation of radio services,state of electromagnetic environment,numbers of radio signals in certain direction were obtained,which laid the theoretical and technical foundation for radio monitoring knowledge acquisition.4.A fingerprint location algorithm for transmitters was proposed.It was based on the detection of radial non-line-of-sight areas,and inferred the location of transmitters using the inverse method,which made up for the shortcomings of traditional radio monitoring systems with limited location accuracy in complex electromagnetic environment and poor robustness in conditions of non-line-of-sight.5.A radio regulation knowledge graph framework was proposed,and an experimental system was built.The functions of radio regulatory knowledge acquisition,reasoning,decision-making support,question and answer were realized.It was a useful exploration on how to realize the smart radio regulatory.