Title :
Asymptotically Optimum Space-Diversity Detection in Non-Gaussian Noise
Author :
Izzo, Luciano ; Paura, Luigi
Author_Institution :
Dipartimento di Ingegneria Elettronica, Napoli Univ., Italy
fDate :
2/1/1986 12:00:00 AM
Abstract :
The theory of asympoticalllly optimum detection in nonGaussian noise is considered to synthesize a space-diversity structure for the noncoherent detection of a bandpass signal subject to amplitude fluctuations. An asymptotic sufficient statistic is obtained for arbitrary fading laws on the diversity branches and, then, for Rayleigh-distributed amplitude fluctuations, the asymptotically optimum detector is synthesized. The performance of the proposed detection structure is obtained and numerical results and comments are presented. Moreover, a comparison between the asymptotically optimum detector and a simple suboptimum structure is made.
Keywords :
Diversity methods; Signal detection; Detection algorithms; Detectors; Electromagnetic interference; Fading; Fluctuations; Gaussian noise; Noise generators; Signal synthesis; Statistics; Working environment noise;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOM.1986.1096497