Paper Info
Title
Low-Complexity Semiblind Multi-CFO Estimation and ICA-Based Equalization for CoMP OFDM Systems
Abstract
We propose a low-complexity semiblind structure with multiple-carrier-frequency-offset (CFO) estimation and independent component analysis (ICA)-based equalization for multiuser coordinated multipoint (CoMP) orthogonal frequency-division-multiplexing (OFDM) systems. A short pilot is carefully designed for each user and has a twofold advantage. On the one hand, using the pilot structure, a complex multidimensional search for multiple CFOs is divided into a number of low-complexity monodimensional searches. On the other hand, the cross correlations between the transmitted and the received pilots are explored to allow simultaneous elimination of permutation ambiguity and quadrant ambiguity in the ICA equalized signals. Simulation results show that with a low training overhead of 1.6%, the proposed semiblind system not only outperforms the existing multi-CFO estimation schemes in terms of bit error rate (BER) and mean square error (MSE) of multi-CFO estimation but achieves a BER performance close to the ideal case with perfect channel state information (CSI) and no CFO at the receiver as well.
Year
DOI
Venue
2014
10.1109/TVT.2013.2285320
IEEE T. Vehicular Technology
Keywords
Field
DocType
Estimation,OFDM,Correlation,Frequency estimation,Complexity theory,Bit error rate,Vectors
Equalization (audio),Computer science,Permutation ambiguity,Mean squared error,Electronic engineering,Independent component analysis,Ambiguity,Orthogonal frequency-division multiplexing,Channel state information,Bit error rate
Journal
Volume
Issue
ISSN
63
4
0018-9545
Citations 
PageRank 
References 
8
0.53
10
Authors
5
Name
Order
Citations
PageRank
Yufei Jiang1283.89
Xu Zhu237147.63
Enggee Lim3185.36
Yi Huang412611.59
Hai Lin543452.81