Font-Segura, JosepRiba, JaumeVillares, JavierVázquez, Gregori2024-01-312024-01-312014Font-Segura J, Riba J, Villares J, Vázquez G. Frequency-domain GLR detection of cyclostationary signals in frequency-selective channels. In: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP); 2014 May 4-9; Florence, Italy. [Piscataway, NJ]:IEEE;2014. p.5769-73. DOI: 10.1109/ICASSP.2014.685470997814799289271520-6149http://hdl.handle.net/10230/58913Comunicació presentada a 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, celebrada del 4 al 9 de Maig de 2014 a Florència, Itàlia.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 cyclostationary 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 covariance matrices.application/pdfeng© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. http://dx.doi.org/10.1109/ICASSP.2014.6854709info:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ICASSP.2014.6854709GLRTLMPITCognitive radioCyclostationarity based detectionSpectral correlationinfo:eu-repo/semantics/openAccess