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AuthorMonfared, Shaghayegh S.M.
AuthorTaherpour, Abbas
AuthorKhattab, Tamer
Available date2022-11-01T09:01:33Z
Publication Date2013
Publication NameGLOBECOM - IEEE Global Telecommunications Conference
ResourceScopus
Resource2-s2.0-84904105707
URIhttp://dx.doi.org/10.1109/GLOCOM.2013.6831219
URIhttp://hdl.handle.net/10576/35709
AbstractIn this paper, we investigate the use of time-frequency analysis for improvement of spectrum sensing in cognitive radios and exploit compressed sensing (sampling) to reduce the extremely high sampling rate of signal in time-frequency plane. We suggest a non-parametric spectrum sensing technique similar to energy detection utilizing time-frequency analysis to generally compromise between accuracy and sensing time, though the computational cost is significantly increased. As the representation of signals on the time-frequency plane is intrinsically sparse, thus we use the compressed sensing to achieve a significant reduction in the number of measurements. We propose using of different time-frequency representation such as short time Fourier transform, wavelet, Wigner-Ville and pseudo Wigner-Ville distribution in conduction of compressed sampling technique. The simulation results evaluate the performance of the proposed time-frequency compressed detectors compared to other time-frequency and energy detectors using basis pursuit and Bayesian compressive sensing reconstruction algorithms for AWGN and also Rayleigh and Rician fading channels. 2013 IEEE.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectChannel estimation
Cognitive radio
Communication
Rayleigh fading
Sensors
Signal analysis
Signal detection
Signal reconstruction
Wigner-Ville distribution
Bayesian compressive sensing
Compressed spectrum sensing
Rayleigh and Rician fading channels
Reconstruction algorithms
Short time Fourier transforms
Spectrum sensing techniques
Time frequency analysis
Time-frequency representations
Compressed sensing
TitleTime-frequency compressed spectrum sensing in cognitive radios
TypeConference Paper
Pagination1088-1094
dc.accessType Abstract Only


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