PublisherIEEE Press. Institute of Electrical and Electronics Engineers
Rights accessRestricted access - publisher's policy
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 likelihood
ratio test (GLRT) spectrum sensing for wideband cognitive radio. Simulation results are reported to assess the behavior of the CCM method.
CitationFont-Segura, J.; Vazquez, G.; Riba, J. Compressed correlation-matching for spectrum sensing in sparse wideband regimes. A: IEEE International Conference on Communication (ICC). "2011 IEEE International Conference on Communications". Kyoto: IEEE Press. Institute of Electrical and Electronics Engineers, 2011, p. 1-5.
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