Title :
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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4960089
