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Asymptotically optimum diversity detection in correlatednon-Gaussian noise
Authors:Izzo   L. Tanda   M.
Affiliation:Dipartimento di Ingegneria Elettronica, Naples Univ.;
Abstract:The letter deals with noncoherent diversity detection of bandpass signals subject to slow and nonselective fading and embedded in correlated non-Gaussian noise modeled as a spherically invariant random process. At first, an asymptotic sufficient statistic for arbitrary fading laws on the diversity branches is derived; then, the asymptotically optimum detector for Rayleigh-distributed amplitude fluctuations is synthesized and its performance is assessed
Keywords:
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