The Design And Implementation Of Data Analysis System For Radio Spectrum Monitoring

With the rapid development of radio monitoring technology in recently years, the construction of radio monitoring devices has made great progress, and a variety of radio frequency spectrum monitoring equipment came into being. In the field of radio spectrum management, radio monitoring network is constantly producing a large number of spectrum monitoring data, and these data do not provide the valuable information directly. Beside of lacking computing resource, storage capacity and the others, there are also existing the following problems in the current monitoring control system:too larger size of the monitoring data files, and too smaller amount of storage, lacking stability is also. These data can't be deal in the same analysis system because of different storage format by the different monitoring control system. Under the complex electromagnetic environment, many analysis functions, such as intermodulation analysis and identification, become difficulty day by day. Using static occupancy will also be unreliable while frequency background noise fluctuation is more intense.This paper design and implement a data analysis system of radio spectrum monitoring based on the actual needs of radio management for the new age. Through in-depth research, this system provides a solution for these problems listed in the above. This system can deal with the monitoring data generated by a variety of radio monitoring control system. Firstly, these data will be converted into the standard format, then make them efficient compression before being storage. This system also provides many data analysis and statistics functions, so as to give full usage to the radio spectrum monitoring devices, and to provide useful information and technical support for radio management.This paper briefly introduces the research background in the first, and then describes the detail information about system's analysis and design, including: demand analysis, functional analysis, system architecture, functional design, database design, and a detailed description of the key technologies, and then making a implementation according to the proposed solution, and finally giving a system widely function and interface testing and evaluation, pointing out the shortcomings of the system, and the follow-up study.