Authors: Ying Zhao, Xiaobo Luo, Xiaru Lin, Hairong Wang, Xiaoyan Kui, Fangfang Zhou, Jinsong Wang, Yi Chen, Wei Chen
Abstract: Traditional radio monitoring and management largely depends on radio spectrum data analysis, which requires considerable domain experience and heavy cognition effort and often results in incorrect signal judgment and incomprehensive situation awareness. Faced with increasingly complicated electromagnetic environment, radio supervisors urgently need additional data sources and advanced analytical technologies to enhance their situation awareness ability. This paper introduces a visual analytics approach for electromagnetic situation awareness. Guided by a detailed scenario and requirement analysis, we first propose a signal sorting method to process radio signal data and constructs a situation assessment model to gain a qualitative and quantitative description of electromagnetic situation. We then design and implement a two-module interface with a set of visualization views and interactions to help radio supervisors perceive and understand electromagnetic situation by the joint analysis of radio signal data and radio spectrum data. Evaluations on real-world data sets and an interview with actual users demonstrate the effectiveness of our prototype system. Finally, we discuss the limitations of this approach and forecast future work directions.