Paper Info
Title
Modified Orthogonal Matching Pursuit Algorithm for Cognitive Radio Wideband Spectrum Sensing
Abstract
Sampling rate is the bottleneck for spectrum sensing over multi-GHz bandwidth. Recent progress in compressed sensing (CS) initialized several sub-Nyquist rate approaches to overcome the problem. However, efforts to design CS reconstruction algorithms for wideband spectrum sensing are very limited. It is possible to further reduce the sampling rate requirement and improve reconstruction performance via algorithms considering prior knowledge of cognitive radio spectrum usages. In this paper, we group the usages of cognitive radio spectrum into three categories and propose a modified orthogonal matching pursuit (OMP) algorithm for wideband spectrum sensing. Simulation results show that this modified OMP algorithm outperforms two modified basis pursuit de-noising (BPDN) algorithms in terms of reconstruction performance and computation time.
Year
Venue
Keywords
2011
Clinical Orthopaedics and Related Research
information theory,compressed sensing,spectrum,orthogonal matching pursuit,cognitive radio,basis pursuit
Field
DocType
Volume
Matching pursuit,Bottleneck,Wideband,Mathematical optimization,Sampling (signal processing),Basis pursuit,Bandwidth (signal processing),Compressed sensing,Mathematics,Cognitive radio
Journal
abs/1102.2
Citations 
PageRank 
References 
3
0.49
8
Authors
2
Name
Order
Citations
PageRank
Peng Zhang1616.79
Robert Caiming Qiu285788.17