Radio signal recognition based on constructing typical spectrum

In this paper, a novel method of typical spectrum (TS) is developed to analyze spectral data in broadcast band. It is composed of the following two steps: in the first step, six features are extracted based on repeated experiments, which decreases computational complexity and makes the distribution...

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Bibliographic Details
Published in2016 2nd IEEE International Conference on Computer and Communications (ICCC) pp. 1889 - 1894
Main Authors Haohui Yan, Bin Zhou, Jing Liu, Mingming Kong, Zheng Pei
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2016
Subjects
Feature extraction
illegal broadcast
Monitoring
spectrum recognition
typical spectrum
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Summary:In this paper, a novel method of typical spectrum (TS) is developed to analyze spectral data in broadcast band. It is composed of the following two steps: in the first step, six features are extracted based on repeated experiments, which decreases computational complexity and makes the distribution of spectral data more compact and useful. In the second step, typical spectrum is constructed based on the latest clustering algorithm. Experiment shows that the proposed method can achieve satisfactory performance over acquired data. Furthermore, we identify illegal broadcast based on typical spectrum of mute signal, which provides a guiding significance for further study in the radio monitoring.
DOI:10.1109/CompComm.2016.7925030