PublisherIEEE Press. Institute of Electrical and Electronics Engineers
Rights accessRestricted access - publisher's policy
The spectrum analysis problem based on the periodogram and Capon estimates from a nonuniformly sampled signal is addressed. The nonuniform sampling process is cast
as a linear projection matrix which encompasses several recent sampling strategies such as compressive sampling. A rank-1 correlation-matching approach is proposed to derive a general filter-bank framework that allows the formulation of the nonuniform periodogram and Capon estimates as particular cases. The performance of the novel periodogram and Capon estimates is
analyzed in a cognitive radio scenario where the primary system is a multiband signal with sparse spectrum. Both theoretical and
numerical results show that the denoising process required by correlation-matching plays an important role in spectral analysis
based on nonuniform sampling.
CitationFont-Segura, J.; Vazquez, G.; Riba, J. Novel periodogram and Capon spectral analysis based on nonuniform sampling. A: IEEE Global Communications Conference. "2011 IEEE Global Telecommunications Conference - GLOBECOM". Houston: IEEE Press. Institute of Electrical and Electronics Engineers, 2011, p. 1-5.
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