DocumentCode
1426034
Title
Diversity reception of fading signals in spherically invariant noise
Author
Izzo, L. ; Tanda, M.
Author_Institution
Dipt. di Ingegneria Elettronica e delle Telecomunicazioni, Univ. di Napoli Federico II, Italy
Volume
145
Issue
4
fYear
1998
fDate
8/1/1998 12:00:00 AM
Firstpage
272
Lastpage
276
Abstract
The problem of noncoherent diversity reception of one out of M equally likely signals is addressed. The signal on each diversity channel is affected by slow and nonselective fading with an arbitrary distribution law, and is subject to additive correlated non-Gaussian noise modelled as a spherically invariant random process. An asymptotically (i.e. for large sample size) optimum receiver is synthesised, whose structure depends on the noise on each diversity channel only through its correlation function, but is otherwise independent of the noise distribution. With reference to Rayleigh fading on each channel, the performance, in terms of bit-error rate, of the proposed asymptotically optimum receiver is assessed, via computer simulations, by considering the transmission of an orthogonal signal set and adopting the generalised Cauchy model for the univariate distribution function of the noise. It is shown that the performance degradation with respect to the fully optimum performance is scarcely significant even for low values of the sample size. Moreover, in highly non-Gaussian noise the proposed receiver significantly outperforms the fully optimum receiver synthesised under a Gaussian noise assumption, which exhibits the same implementation complexity
Keywords
Rayleigh channels; diversity reception; error statistics; fading; random noise; receivers; Rayleigh fading; additive correlated nonGaussian noise; asymptotically optimum receiver; bit-error rate; correlation function; diversity channel; fading signals; generalised Cauchy model; highly nonGaussian noise; implementation complexity; noise distribution; noncoherent diversity reception; orthogonal signal set; performance; spherically invariant noise; spherically invariant random process; transmission; univariate distribution function;
fLanguage
English
Journal_Title
Communications, IEE Proceedings-
Publisher
iet
ISSN
1350-2425
Type
jour
DOI
10.1049/ip-com:19982131
Filename
714383
Link To Document