Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/62399
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dc.titleMaximal-ratio combining over Nakagami fading channels with an arbitrary branch covariance matrix
dc.contributor.authorZhang, Q.T.
dc.date.accessioned2014-06-17T06:50:37Z
dc.date.available2014-06-17T06:50:37Z
dc.date.issued1999
dc.identifier.citationZhang, 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.
dc.identifier.issn00189545
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/62399
dc.description.abstractThe 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/25.775363
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleIEEE Transactions on Vehicular Technology
dc.description.volume48
dc.description.issue4
dc.description.page1141-1150
dc.description.codenITVTA
dc.identifier.isiut000081529400013
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