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For cooperative cognitive radio networks (CR-Nets), spectrum sensing is a key technology to detect spectrum holes which are inadequacy exploited by primary communication system. This paper presents a novel compressed spectrum sensing method based on the structure prior information of the primary user signal for cooperative CR-Nets. In the proposed method, fusion central (FC) recombines the measurements...
Block-sparse reconstruction, which arises from the reconstruction of block-sparse signals in structured compressed sensing, is generally considered difficult to solve due to the mixed-norm structure. In this letter, we propose an algorithm for reconstructing block-sparse signals, that is an extension of fixed point continuation in block-wise case by incorporating block coordinate descent technique...
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