Paper Info
Title
ICA based joint semi-blind equalization and CFO estimation for OFDMA systems.
Abstract
We propose a joint independent component analysis (ICA) based equalization and carrier frequency offset (CFO) estimation scheme for orthogonal frequency division multiple access (OFDMA) systems, which requires only a single pilot, resulting in a very low spectral overhead. On the one hand, a low-complexity ambiguity elimination method is proposed in the ICA equalized signals. By designing and exploring a fixed order of correlation in the transmitted signals, the permutation ambiguity problem is solved, while the remaining quadrant ambiguity is eliminated by one pilot symbol. One the another hand, linear CFO estimation is performed with a closed-form solution based on the phase difference between adjacent rows in the CFO-corrupted channel structure. Simulation results show that the proposed semi-blind ICA based scheme not only outperforms some existing CFO estimation approaches, but also provides a bit error rate (BER) performance, comparable to the ideal case with perfect channel state information (CSI) and no CFO.
Year
DOI
Venue
2014
10.1109/GLOCOM.2014.7037338
IEEE Global Communications Conference
Keywords
Field
DocType
independent component analysis (ICA),OFDMA,CFO
Equalization (audio),Computer science,Carrier frequency offset,Orthogonal frequency-division multiple access,Algorithm,Speech recognition,Real-time computing,Independent component analysis,Blind equalization,Orthogonal frequency-division multiplexing,Channel state information,Bit error rate
Conference
ISSN
Citations 
PageRank 
2334-0983
0
0.34
References 
Authors
8
5
Name
Order
Citations
PageRank
Yufei Jiang13222.37
Xu Zhu237147.63
Eng Gee Lim32220.78
Yi Huang485098.48
Hai Lin543452.81