Compressive wide-band spectrum sensing

Author

Polo, Yvan Lamelas ; Wang, Ying ; Pandharipande, Ashish ; Leus, Geert

Author_Institution

Fac. of Electr. Eng., Delft Univ. of Technol., Delft

fYear

2009

fDate

19-24 April 2009

Firstpage

2337

Lastpage

2340

Abstract

We present a compressive wide-band spectrum sensing scheme for cognitive radios. The received analog signal at the cognitive radio sensing receiver is transformed in to a digital signal using an analog-to-information converter. The autocorrelation of this compressed signal is then used to reconstruct an estimate of the signal spectrum. We evaluate the performance of this scheme in terms of the mean squared error of the power spectrum density estimate and the probability of detecting signal occupancy.

Keywords

analogue-digital conversion; cognitive radio; correlation methods; radio receivers; signal reconstruction; spread spectrum communication; analog-to-digital signal; analog-to-information converter; autocorrelation method; cognitive radio sensing receiver; compressive wide-band spectrum sensing; signal reconstruction; Analog-digital conversion; Autocorrelation; Cognitive radio; Detectors; Europe; Frequency estimation; Receivers; Sampling methods; Signal detection; Wideband; Cognitive radio; Compressive sampling; Spectrum estimation; Wide-band spectrum sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on

Conference_Location

Taipei

ISSN

1520-6149

Print_ISBN

978-1-4244-2353-8

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2009.4960089

Filename

4960089