DocumentCode
2607573
Title
Compressive sampling based MVDR spectrum sensing
Author
Wang, Ying ; Pandharipande, Ashish ; Leus, Geert
fYear
2010
fDate
14-16 June 2010
Firstpage
333
Lastpage
337
Abstract
We propose a compressive sampling (CS) based MVDR spectrum estimator, which estimates the wideband spectrum from the compressed signals with sub-Nyquist-rate sampling. To analyze detection performance, we derive the statistics of the estimated CS MVDR spectrum considering finite samples. We also show that different compression matrices produce different levels of signal leakage and influence the computation of detection thresholds.
Keywords
matrix algebra; signal sampling; MVDR spectrum sensing; Nyquist rate sampling; compression matrices; compressive sampling; detection threshold; signal leakage; spectrum estimator; wideband spectrum; Covariance matrix; Frequency estimation; Signal to noise ratio; Smoothing methods; Spectral analysis; Wideband;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Information Processing (CIP), 2010 2nd International Workshop on
Conference_Location
Elba
Print_ISBN
978-1-4244-6457-9
Type
conf
DOI
10.1109/CIP.2010.5604239
Filename
5604239
Link To Document