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

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 in the GLR test. The proposed detector outperforms the classical spectral correlation magnitude detectors by exploiting the rank-1 structure of small spectral co-variance matrices

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CitationFont-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.

URIhttp://hdl.handle.net/2117/24579

DOI10.1109/ICASSP.2014.6854709

ISBN978-1-4799-2894-1

Publisher versionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6854709

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

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