1. Frequency-domain GLR detection of cyclostationary signals in frequency-selective channels
- Author
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Josep Font-Segura, Javier Villares, Gregori Vazquez, Jaume Riba, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, and Universitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions
- Subjects
Signal processing ,Física::Acústica [Àrees temàtiques de la UPC] ,GLRT ,Computer science ,Cyclostationary process ,business.industry ,Cognitive radio ,Spectral correlation ,Tractament del senyal ,LMPIT ,Cyclostationarity based detection ,Frequency domain ,Electronic engineering ,Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic [Àrees temàtiques de la UPC] ,Processament de la parla ,Speech processing systems ,Telecommunications ,business - Abstract
© 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. 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
- Published
- 2014
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