A wideband compressed spectrum sensing platform for dynamic spectrum access networks

Authors:
Qiang Liu;Ze Zhao;Li Cui
Affiliations:
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
Venue:
Proceedings of the 18th annual international conference on Mobile computing and networking
Year:
2012

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Abstract

Dynamic spectrum access (DSA) networks can significantly improve the networks performance and efficiency of spectrum utilization. To harness this capability, spectrum sensing is a fundamental problem for DSA networks. This demonstration shows our wideband compressed spectrum sensing (WCSS) platform. This platform supports the controllable spectrum environment, high performance and low cost wideband spectrum sensing based USRP2, powerful and flexible compressed sensing computing platform based MATLAB. With this platform, we can research the wideband compressed spectrum sensing algorithm by actual and controllable spectrum environment.