Title :
Asymptotically optimum diversity detection in correlated non-Gaussian noise
Author :
Izzo, Luciano ; Tanda, Mario
Author_Institution :
Dipartimento di Ingegneria Elettronica, Naples Univ., Italy
fDate :
5/1/1996 12:00:00 AM
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 :
correlation theory; diversity reception; fading; interference (signal); optimisation; probability; random noise; signal detection; statistical analysis; Rayleigh-distributed amplitude fluctuations; arbitrary fading laws; asymptotic sufficient statistic; asymptotically optimum diversity detection; bandpass signals; correlated nonGaussian noise; diversity branches; noncoherent diversity detection; slow nonselective fading; spherically invariant random process; Atmospheric modeling; Envelope detectors; Fading; Fluctuations; Gaussian noise; Matrix decomposition; Noise level; Random processes; Signal detection; Signal synthesis;
Journal_Title :
Communications, IEEE Transactions on
