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Novel periodogram and Capon spectral analysis based on nonuniform sampling
Font Segura, Josep; Vázquez Grau, Gregorio; Riba Sagarra, Jaume
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions
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.
Peer Reviewed
-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
-Cognitive radio
-Spectral analysis
-Nonuniform sampling
-Ràdio cognitiva
Artículo - Versión publicada
Objeto de conferencia
IEEE Press. Institute of Electrical and Electronics Engineers
         

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