DocumentCode :
791927
Title :
A general analytical approach to multi-branch selection combining over various spatially correlated fading channels
Author :
Zhang, Q.T. ; Lu, H.G.
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China
Volume :
50
Issue :
7
fYear :
2002
fDate :
7/1/2002 12:00:00 AM
Firstpage :
1066
Lastpage :
1073
Abstract :
Driven by the potential application to wireless communications, intensive research efforts have been made on the study of various selective combining (SC) schemes in the past decade. Nevertheless, regardless of its practical importance, performance analysis of multi-branch SC over spatially correlated fading channels is not available in literature except for the simplest case of dual diversity. The major difficulty lies in the fact that SC has its root in the theory of order statistics, and yet systematic methodology has been developed mainly for order statistics obtained from an independent population. In this paper, we formulate the problem in a very general framework, whereby a general solution is derived. The application of the new solution to SC with different modulation schemes and operational environments is elaborated. The fading environments to be addressed include correlated Nakagami, Rayleigh, and Rician channels. Numerical examples are also presented to illustrate the use of the theory.
Keywords :
Rayleigh channels; Rician channels; correlation methods; differential phase shift keying; diversity reception; frequency shift keying; multipath channels; statistical analysis; Rayleigh channels; Rician channels; binary DPSK; correlated Nakagami fading; differential PSK; dual diversity; fading environments; independent population; modulation; multi-branch selection combining; multipath fading; noncoherent FSK; operational environments; order statistics; spatially correlated fading channels; wireless communications; Distribution functions; Diversity methods; Diversity reception; Fading; Performance analysis; Rayleigh channels; Rician channels; Statistical distributions; Statistics; Wireless communication;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2002.800804
Filename :
1021038
Link To Document :
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