Title
On Signal-to-Noise Ratio-Assisted Crosstalk Channel Estimation in Downstream DSL Systems
Abstract
Downstream (DS) crosstalk channels of digital subscriber line systems can be estimated based on the reported signal-to-noise ratio (SNR). In the case of an already active victim line (VL) impacted by the joining of a new disturber line (DL), sending perturbing signals on the VL and reporting the SNRs allow the estimation of the crosstalk channel from the DL to the VL. This paper generalizes that concept to include full startup, tracking and joining scenarios as well as the impact of different perturbation signal choices. Additionally, the sensitivity of the algorithm to different sources of imperfection is analyzed. Simulation results reveal that starting without precoding, and updating the precoder matrix based on the DS crosstalk channel estimates, the far-end crosstalk-free SNR can be reached in a limited number of iterations (e.g., 36 SNR measurements are needed for the four lines case). The SNR-assisted method is documented in an informative appendix of the draft G.vector recommendation as a backward compatible method for very high speed digital subscriber lines (VDSL2) and, hence, can be used for channel acquisition today.
Year
DOI
Venue
2010
10.1109/TSP.2010.2040408
IEEE Transactions on Signal Processing
Keywords
Field
DocType
channel estimation,crosstalk,digital subscriber lines,G.vector,SNR,channel acquisition,channel estimation,crosstalk,digital subscriber line systems,disturber line,downstream DSL systems,signal-to-noise ratio,very high speed digital subscriber lines,victim line,Channel estimation,digital subscriber lines (DSLs),vectoring
Signal processing,Telecommunications,Control theory,Digital subscriber line,Signal-to-noise ratio,Algorithm,Communication channel,Estimation theory,Multiplexing,Precoding,Mathematics,Telecommunications link
Journal
Volume
Issue
ISSN
58
4
1053-587X
Citations 
PageRank 
References 
8
0.68
9
Authors
4
Name
Order
Citations
PageRank
M. Guenach1647.37
Louveaux Jérôme228427.22
L. Vandendorpe357882.38
Phil Whiting421033.70