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Spectrum sensing (SS) is the key enabling technology for wideband cognitive radio networks, where two coexisting systems share the same frequency band. The critical task of SS is required to detect spectrum opportunities and to determine if the spectrum allocation meets the quality of service (QoS) requirements of different users. In case of missed detection, collision happens between secondary and...
In this paper, we consider a novel compressed correlation-matching (CCM) approach for spectrum sensing of wideband sparse signals. We derive a general closed-form estimate of the wideband sparse signal level from compressed observations, while providing physical interpretation of the problem. The formulation allows straightforward application to signal processing problems of interest, such as generalized...
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