DocumentCode
703701
Title
A reduced-complexity bat algorithm for joint CFO estimation in OFDMA uplink
Author
Thafasal Ijyas, V.P. ; Sameer, S.M.
Author_Institution
Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol. Calicut, Calicut, India
fYear
2015
fDate
19-21 Feb. 2015
Firstpage
1
Lastpage
5
Abstract
In this paper, we propose a method for joint estimation of carrier frequency offsets (CFO) of multiple active users in an orthogonal frequency division multiple access (OFDMA) uplink using the recently-developed bat algorithm. An initialization technique that can drastically reduce the total computational complexity of joint maximum likelihood (ML) estimation problems is employed to make the metaheuristic bat algorithm more efficient. This initialization improves the convergence rate of the estimator and thus reduces its total computational load in a significant manner. The CFO estimates obtained from the proposed method are also characterized by low mean square error values compared to a conventional implementation of the bat algorithm for the problem. The efficacy of the proposed method is substantiated through computer simulation studies.
Keywords
OFDM modulation; computational complexity; frequency division multiple access; frequency estimation; maximum likelihood estimation; mean square error methods; OFDMA uplink; computer simulation study; estimator convergence rate; initialization technique; joint CFO estimation; joint ML estimation problem; joint carrier frequency offset estimation; joint maximum likelihood estimation problem; low-mean square error values; metaheuristic bat algorithm; multiple-active users; orthogonal frequency division multiple access uplink; recently-developed bat algorithm; reduced-complexity bat algorithm; total computational complexity reduction; total computational load; Channel estimation; Estimation; Joints; OFDM; Sociology; Statistics; Uplink; Bat algorithm (BA); Orthogonal frequency division multiple access (OFDMA); carrier frequency offset (CFO); channel estimation; maximum likelihood estimation (MLE);
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015 IEEE International Conference on
Conference_Location
Kozhikode
Type
conf
DOI
10.1109/SPICES.2015.7091425
Filename
7091425
Link To Document