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Content Provider | IEEE Xplore Digital Library |
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Author | Riba, J. Font-Segura, J. Villares, J. Vazquez, G. |
Copyright Year | 1991 |
Abstract | Cyclostationary processes exhibit a form of frequency diversity. Based on that, we show that a digital waveform with symbol period T can be asymptotically represented as a rank-1 frequency-domain vector process which exhibits uncorrelation at different frequencies inside the Nyquist spectral support of 1/T. By resorting to the fast Fourier transform (FFT), this formulation obviates the need of estimating a cumbersome covariance matrix to characterize the likelihood function. We then derive the generalized likelihood ratio test (GLRT) for the detection of a cyclostationary signal in unknown white noise without the need of a assuming a synchronized receiver. This provides a sound theoretical basis for the exploitation of the cyclostationary feature and highlights an explicit link with classical square timing recovery schemes, which appear implicitly in the core of the GLRT. Moreover, to avoid the well-known sensitivity of cyclostationary-based detection schemes to frequency-selective fading channels, a parametric channel model based on a lower bound on the coherence bandwidth is adopted and incorporated into the GLRT. By exploiting the rank-1 structure of small spectral covariance matrices, the obtained detector outperforms the classical spectral correlation magnitude detector. |
Sponsorship | IEEE Signal Processing Society |
Starting Page | 1899 |
Ending Page | 1912 |
Page Count | 14 |
File Size | 2391009 |
File Format | |
ISSN | 1053587X |
Volume Number | 62 |
Issue Number | 8 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-01-01 |
Publisher Place | U.S.A. |
Access Restriction | One Nation One Subscription (ONOS) |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Detectors Frequency-domain analysis Covariance matrices Noise Vectors Correlation Digital modulation frequency-smoothed cyclic periodogram GLRT LMPIT cognitive radio cyclostationarity based detection spectral correlation timing synchronization |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering |
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