DocumentCode
1057287
Title
Unified Performance Analysis of Hybrid-Selection/Equal-Gain Combining
Author
Ma, Yao ; Jin, Jinghua
Author_Institution
Iowa State Univ., Ames
Volume
56
Issue
4
fYear
2007
fDate
7/1/2007 12:00:00 AM
Firstpage
1866
Lastpage
1873
Abstract
Hybrid-selection/equal-gain combining (HS/EGC) is a new diversity format in which a subset of branches with the largest signal-to-noise ratios are selected and combined per EGC rule. It provides a performance close to the hybrid-selection/maximum-ratio combining, and yet with a lower implementation complexity, and thus may be regarded as a promising candidate diversity format for multipath channels or multiple-antenna systems. In this paper, to enable HS/EGC diversity for nonconstant modulus modulation formats, we propose the relevant HS/EGC receiver structure and decision variable. By deriving the moment-generating function expression for the HS/EGC output signal amplitude and with the help of Parseval´s theorem, we develop a general analytical framework to evaluate the error and outage probabilities of predetection HS/EGC for a large class of modulation formats and versatile system and channel parameters. Simulation results verify the validity and accuracy of our analysis. Some insightful findings on the effect of the system and channel parameters are provided.
Keywords
diversity reception; error statistics; fading channels; multipath channels; receivers; Parseval theorem; diversity format; error probabilty; hybrid-selection-equal-gain combining; maximum-ratio combining; multipath channels; multiple-antenna systems; signal-to-noise ratio; Analytical models; Diversity reception; Fading; Global communication; Multipath channels; Performance analysis; Phase modulation; Research and development; Signal analysis; Wireless communication; Error and outage probabilities; generalized fading channels; generalized selection combining (GSC); hybrid-selection/equal-gain combining (HS/EGC); moment-generating function (MGF);
fLanguage
English
Journal_Title
Vehicular Technology, IEEE Transactions on
Publisher
ieee
ISSN
0018-9545
Type
jour
DOI
10.1109/TVT.2007.897650
Filename
4273736
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