A Joint Visual Analysis on Radio Frequency Spectrum and Radio Signal Data

Radio spectrum monitoring data and radio signal feature data are the main sources for understanding complicated radio environment. Faced with unstructured spectrum data and unstable signal feature data, we need perform a joint analysis on these two types of data. This paper proposes a visual analysis method for the cooperative work of radio spectrum data and radio signal data. First, we integrate signal data visualization methods into conventional radio spectrum visualization techniques. Secondly, we combine both automatic clustering and visual clustering together for helping analysts discern the number of radio signals. Thirdly, we design a novel flow-style visualization that can smoothly visualize multi-featured and time-varying patterns in dispersed radio signal data. During the experiment, our prototype presented good results in the clustering of radio signal data, the analysis of time-varying features of radio signals, and signal extraction precision analysis. In final, we invited some experts for the evaluation of the prototype and discussed towards the future work.