Paper Info
Title
Orthogonal sequences based multi-CFO estimation and semi-blind ICA based equalization for multiuser comp systems.
Abstract
We propose a low-complexity carrier frequency offset (CFO) estimation approach and an independent component analysis (ICA) based semi-blind equalization structure for the orthogonal frequency division multiplexing (OFDM) based multiuser coordinated multi-point (CoMP) systems. A group of orthogonal sequences are employed to enable separation and simultaneous estimation of multiple CFOs at base stations, dividing a complex multi-dimensional search into series of low-complexity mono-dimensional searches. Then, a small number of pilot symbols attached to the source data, are used to resolve the ambiguity problem in the ICA equalized signals. It has a low complexity, as the permutation and quadrature ambiguity can be eliminated simultaneously, rather than sequentially by the previous precoding aided method. Simulation results show that the proposed semi-blind equalization structure has a bit error rate (BER) performance close to the ideal cases of the zero forcing (ZF) and minimum mean square error (MMSE) based equalizations with perfect channel state information (CSI) and no CFO, and also significantly outperforms the constant amplitude zero autocorrelation (CAZAC) sequences based CFO estimation method.
Year
DOI
Venue
2012
10.2298/CSIS120303051J
COMPUTER SCIENCE AND INFORMATION SYSTEMS
Keywords
Field
DocType
carrier frequency offset (CFO),coordinated multi-point (CoMP),orthogonal frequency division multiplexing (OFDM),independent component analysis (ICA)
Data mining,Equalization (audio),Computer science,Carrier frequency offset,Algorithm,Minimum mean square error,Speech recognition,Independent component analysis,Precoding,Orthogonal frequency-division multiplexing,Bit error rate,Channel state information
Journal
Volume
Issue
ISSN
9
SP4
1820-0214
Citations 
PageRank 
References 
0
0.34
16
Authors
4
Name
Order
Citations
PageRank
Yufei Jiang1283.89
Zhu Xu29018.05
Enggee Lim3185.36
Y. Huang4698.02