Spectrum sensing with periodic non-uniform sampling

Author

Celebi, Hasan Basri ; Durak-Ata, Lutfiye

Author_Institution

TUBITAK-BILGEM, Kocaeli, Turkey

fYear

2015

fDate

16-19 May 2015

Firstpage

2190

Lastpage

2190

Abstract

New wireless communication technologies increase the demand for spectrum sensing. However due to the limitations of analogue-to-digital converters, sampling a wide spectrum still remains as a major problem. In this paper, a method for estimating the power spectrum density (PSD) from multi-coset (MC) samples, which is a special sub-Nyquist sampling method, is explained. In order to see the feasibility of the method, wide sense spectrum measurements are taken from a vector signal analyzer and each measurement is MC sampled. Then the PSD estimation is compared with the original PSD of the signal. False alarm rates for different variations are analyzed.

Keywords

radio spectrum management; signal detection; signal sampling; PSD estimation; false alarm rate; multi-coset sampling; periodic nonuniform sampling; power spectrum density; spectrum sensing; sub-Nyquist sampling method; vector signal analyzer; wide sense spectrum measurement; Conferences; Estimation; Image reconstruction; Sampling methods; Sensors; Signal processing; Wireless communication; Sub-Nyquist sampling; multi-coset sampling; power spectral density;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2015 23th

Conference_Location

Malatya

Type

conf

DOI

10.1109/SIU.2015.7130308

Filename

7130308