Loading...
Loading...

Go to the content (press return)

Frequency-domain GLR detection of cyclostationary signals in frequency-selective channels

Author
Font-Segura, J.; Riba, J.; Villares, J.; Vazquez, G.
Type of activity
Presentation of work at congresses
Name of edition
2014 IEEE International Conference on Acoustics, Speech, and Signal Processing
Date of publication
2014
Presentation's date
2014-05
Book of congress proceedings
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014): Florence, Italy, 4-9 May 2014
First page
5769
Last page
5773
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/ICASSP.2014.6854709 Open in new window
Project funding
Comunicaciones y Procesado de Señal en Escenarios Adversos - 1
Repository
http://hdl.handle.net/2117/24579 Open in new window
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6854709 Open in new window
Abstract
The frequency diversity exhibited by cyclostationary signals is exploited in this paper. A novel rank-1 frequency-domain representation of a digital waveform is proposed to address the generalized likelihood ratio (GLR) detection of a cyclo-stationary signal with unknown white noise. With the aim of avoiding the well-known sensitivity of cyclostationary-based detectors to frequency-selective fading channels, a parametric channel model based on the coherence bandwidth is adopted and incorporated ...
Citation
Font-Segura, J. [et al.]. Frequency-domain GLR detection of cyclostationary signals in frequency-selective channels. A: IEEE International Conference on Acoustics, Speech, and Signal Processing. "2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014): Florence, Italy, 4-9 May 2014". Florència: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 5769-5773.
Keywords
Cognitive radio, Cyclostationarity based detection, GLRT, LMPIT, Spectral correlation
Group of research
SPCOM - Signal Processing and Communications Group

Participants