NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Performance trends for analog to digital converters
IEEE Communications Magazine
IEEE Communications Magazine
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
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We propose a novel parallel mixed-signal compressive spectrum sensing architecture for Cognitive Radios (CRs) with a detailed study of the signal modeling. The mixed-signal compressive sensing is realized with a parallel segmented compressive sensing (PSCS) architecture, which not only can filter out all the harmonic spurs that leak from the local random generator, but also provides a tradeoff between the sampling rate and the system complexity such that a practical hardware implementation is possible. We consider application of the architecture to do spectrum estimation, which is the first step for spectrum sensing in CRs. The benefit of prior knowledge about the input signal's structure is explored and it is shown that this can be exploited in the PSCS architecture to greatly reduce the sampling rate.