DocumentCode
767046
Title
A fractionally spaced blind equalizer based on linear programming
Author
Luo, Zhi-Quan Tom ; Meng, Mei ; Wong, Kon Max ; Zhang, Jian-Kang
Author_Institution
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada
Volume
50
Issue
7
fYear
2002
fDate
7/1/2002 12:00:00 AM
Firstpage
1650
Lastpage
1660
Abstract
We formulate the blind fractionally spaced equalization (FSE) problem as one that minimizes a piecewise linear convex function subject to some linear constraints on the equalizer parameters. We show that this formulation achieves both the interference removal and the carrier phase recovery when the input signal possesses a certain quadrature amplitude modulation (QAM) type symmetry. A fast linear programming implementation is presented to solve the convex minimization problem. Computer simulation results indicate the new linear programming-based FSE is able to accurately equalize channels that are known to be not equalizable by T-spaced (or baud rate) blind equalizers and yields superior performance to other blind FSE methods
Keywords
FIR filters; adaptive equalisers; blind equalisers; interference suppression; intersymbol interference; linear programming; minimisation; quadrature amplitude modulation; FIR filter; ISI; QAM; adaptive channel equalization; blind equalizers; carrier phase recovery; computer simulation results; convex minimization problem; equalizer parameters; fractionally spaced blind equalizer; input signal; interference removal; intersymbol interference; linear constraints; linear programming; linear programming-based FSE; piecewise linear convex function; quadrature amplitude modulation; Bandwidth; Blind equalizers; Convergence; Cost function; Finite impulse response filter; Interference constraints; Intersymbol interference; Linear programming; Piecewise linear techniques; Quadrature amplitude modulation;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2002.1011206
Filename
1011206
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