The Analysis Of Monitoring Reference Points For Illegal Broadcast Positioning Data Based On K-Means Clustering Algorithm

The state has continuously strengthened the investigation and punishment of“black broadcasting”.The radio regulatory agencies of 31 provinces(districts and cities)in the country,cooperated with the public security,radio and television,civil aviation and other departments to enable a large number of radio monitoring and positioning equipment,monitoring personnel and monitoring vehicles,and continue to combat “black broadcasting” throughout the year.The number of “black broadcasting”crimes decreased significantly.Although the monitoring personnel have rich experience in interfering with investigation and handling,can accurately find interference,ensure the normal order of frequency use,and effectively curb the criminal momentum,but still have the following problems in the investigation and handling work:The “black broadcasting” interference transmitters are mostly installed in dense urban buildings.The electromagnetic environment and geographical conditions are complex,and reflections and diffract-ions are inevitable.The multi-path effect leads to the direction measurement accuracy is low.The error between the actual position of the “black broadcasting” transmitter and the positioning result is large.How to improve the direction-finding accuracy of “black broadcasting” in complex environments,and help radio monitoring technicians quickly investigate and deal with“black broadcasting”,which is the biggest problem in the current “black broadcasting”interference search.In view of the long-standing difficulties in the traditional “black broadcasting”investigation work,the subject refers to the “black broadcasting” launch law and learns from the “black broadcasting” investigation work experience,the paper according to "black broadcast" interference monitoring of the actual needs,the research work and the main contribution of this paper is as follows:First,combined with the actual data of “black broadcasting” interference monitoring over the years,the background,cause and interference emission law of“black broadcasting” interference are introduced,and the essential characteristics of“black broadcasting” interference launch are analyzed in depth,as the theoretical support of the analysis of the text.The second is in view of the traditional “black broadcasting” interference investigation method to solve the problem of low positioning accuracy under complex electromagnetic environment,the composition and characteristics of the positioning data are analyzed in depth,and the “black broadcasting” interference detection method and the technical means of location data collection using DDF007 measurement system are put forward.The new method can quickly find interference,improve positioning accuracy,simple operation,reduce waste of manpower and material resources,and automatically collect high-quality positioning data for the next analysis.Thirdly,in order to further improve the accuracy of interference location in a complex electromagnetic environment,the focus is on the application of clustering algorithms in the analysis of “black broadcasting” positioning data,which as the research object.Through algorithm simulation,the advantages and disadvantages of K-means and DBSCAN clustering algorithms in positioning data analysis are compared.In view of the characteristics of positioning data and the actual work needs,the monitoring reference point analysis method of “black broadcasting” positioning data based on K-means clustering algorithm is finally proposed,and the reference point provides the basis for the “black broadcasting” interference source finding,which is the key and core part of this paper.