Please use this identifier to cite or link to this item: https://doi.org/10.1109/25.775363
Title: Maximal-ratio combining over Nakagami fading channels with an arbitrary branch covariance matrix
Authors: Zhang, Q.T. 
Issue Date: 1999
Source: Zhang, Q.T. (1999). Maximal-ratio combining over Nakagami fading channels with an arbitrary branch covariance matrix. IEEE Transactions on Vehicular Technology 48 (4) : 1141-1150. ScholarBank@NUS Repository. https://doi.org/10.1109/25.775363
Abstract: The error probability of maximal ratio combiners (MRC's) in a correlated Nakagami environment with an arbitrary branch covariance matrix is not available in the literature although some work has been done for two special cases with constant and exponential correlations. Correlation structures of this type, though of theoretical interest, may not match to practical situations, even for an antenna array of a totally symmetrical configuration. In this paper, we tackle the general problem by virtue of characteristic functions, avoiding the difficulty of explicitly obtaining the probability density function (PDF) for the signal-to-noise ratio (SNR) at the MRC output. We derive a simple closed-form solution for arbitrarily correlated channels with an integral fading parameter and a solution in the form of a one-fold integral for a fading parameter of nonintegral values. Simple algorithms have also been developed for their efficient implementation. The formulas are then used to analyze two possible antenna configurations for a base station, ending up with some findings of interest to system design.
Source Title: IEEE Transactions on Vehicular Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/62399
ISSN: 00189545
DOI: 10.1109/25.775363
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

124
checked on Dec 7, 2017

WEB OF SCIENCETM
Citations

104
checked on Nov 23, 2017

Page view(s)

29
checked on Dec 11, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.