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Asymptotically optimum diversity detection in correlated non-Gaussian noise

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2 Author(s)
L. Izzo ; Dipartimento di Ingegneria Elettronica, Naples Univ., Italy ; M. Tanda

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

Published in:

IEEE Transactions on Communications  (Volume:44 ,  Issue: 5 )