DocumentCode
2380031
Title
Carrier frequency offsets estimation for uplink OFDMA systems using enhanced PSO and multiple access interference cancellation
Author
Tan, Tan-Hsu ; Huang, Yung-Fa ; Hsu, Ling-Cheng ; Lin, Kuan-Ren
Author_Institution
Dept. of Electr. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
fYear
2011
fDate
9-12 Oct. 2011
Firstpage
1436
Lastpage
1441
Abstract
Carrier frequency offset (CFO) is a major factor that degrades performance of the orthogonal frequency division multiplexing (OFDM) system. For orthogonal frequency division multiple access (OFDMA) uplink systems, there are multiple CFOs need to be estimated simultaneously, which is a very challenging task. Particle swarm optimization (PSO) algorithm has been recognized a potential approach for CFOs estimation. However, its performance deteriorates as the number of users increases due to insufficient particles diversity. To overcome this difficulty, an enhanced PSO called MRPSO is proposed to increase particles diversity by employing mutation and repulsive operations. Furthermore, a least square (LS) scheme is adopted to improve the estimated CFOs. Simulation results indicate that the proposed MRPSO attains best BER and MSE performances in CFOs estimation as compared to other PSO-based schemes.
Keywords
OFDM modulation; error statistics; frequency division multiple access; least squares approximations; mean square error methods; particle swarm optimisation; MRPSO; carrier frequency offset estimation; enhanced PSO algorithm; least square scheme; multiple access interference cancellation; orthogonal frequency division multiplexing system; particle swarm optimization algorithm; uplink OFDMA systems; Bit error rate; Convergence; Diversity reception; Estimation; Frequency conversion; OFDM; Particle swarm optimization; Carrier frequency offset (CFO) multiple access interference (MAI); Least square (LS); Orthogonal frequency division multiple access (OFDMA); Particle swarm optimization (PSO);
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location
Anchorage, AK
ISSN
1062-922X
Print_ISBN
978-1-4577-0652-3
Type
conf
DOI
10.1109/ICSMC.2011.6083872
Filename
6083872
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