DocumentCode
876732
Title
Performance analysis of square arranged antenna array with SC and MRC receiver over Nakagami fading channel
Author
Ge, Wei ; Fan, Pingyi ; Zhang, Keith Q T
Author_Institution
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Volume
55
Issue
2
fYear
2006
fDate
3/1/2006 12:00:00 AM
Firstpage
477
Lastpage
489
Abstract
In this paper, the performance of using a square array of four antennas for selection combining (SC) and maximal-ratio combining (MRC) of Nakagami correlated signals is investigated. The closed form of average output signal-to-noise ratio and bit error rate (BER) for SC with arbitrary four correlated branches is derived; the expression of BER with MRC is also derived by utilizing the characteristic function method. Two models for the angle of arrival (AOA), i.e., uniform and truncated Gaussian, are considered in the system performance evaluation. The effects of correlation coefficients and fading factor on the system performance are investigated through numerical examples, which show that the uniformly distributed AOA system outperforms the truncated Gaussian-distributed counterpart with small angular spread. The degradation of system performance in the presence of one-antenna failure is also investigated.
Keywords
Gaussian distribution; Nakagami channels; antenna arrays; direction-of-arrival estimation; error statistics; receiving antennas; BER; Gaussian-distributed counterpart; Nakagami fading channel; angle of arrival; bit error rate; characteristic function method; maximal-ratio combining; one-antenna failure; performance analysis; selection combining; signal-to-noise ratio; square arranged antenna array; system performance evaluation; Antenna arrays; Bit error rate; Degradation; Diversity reception; Fading; Gaussian distribution; Performance analysis; Receiving antennas; Signal to noise ratio; System performance; AOA; correlated Nakagami fading channel; diversity gain; one-antenna failure; square arranged antenna array;
fLanguage
English
Journal_Title
Vehicular Technology, IEEE Transactions on
Publisher
ieee
ISSN
0018-9545
Type
jour
DOI
10.1109/TVT.2005.863338
Filename
1608628
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