Power spectrum blind sampling using optimal multicoset sampling patterns in the MSE sense

Author

Tausiesakul, Bamrung ; Gonzalez-Prelcic, Nuria

Author_Institution

E.E. Telecomun., Univ. de Vigo, Vigo, Spain

fYear

2014

fDate

4-9 May 2014

Firstpage

1055

Lastpage

1059

Abstract

We consider the design of a multicoset sampling pattern to be used in power spectrum blind sampling (PSBS). The criterion for the PSBS pattern design that we propose is based on the minimization of the mean square error of the power spectrum estimate. The design framework appears as a constrained optimization problem, whose complexity increases with the pattern length. We solve such a constrained optimization problem in terms of nonlinear integer programming by using exhaustive search.

Keywords

compressed sensing; integer programming; mean square error methods; nonlinear programming; signal reconstruction; signal sampling; MSE; PSBS pattern design; mean square error; nonlinear integer programming; optimal multicoset sampling patterns; power spectrum blind sampling; power spectrum estimate; Cognitive radio; Compressed sensing; Correlation; Covariance matrices; Mean square error methods; Optimization; Sensors; Compressed sensing; minimum mean square error; multicoset sampling; power spectrum blind sampling; sparse rulers; spectrum sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on

Conference_Location

Florence

Type

conf

DOI

10.1109/ICASSP.2014.6853758

Filename

6853758