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A Detection Guided Normalized Least-Mean-Squares Adaptive Partial Crosstalk Canceller for Multi-User DSL Environments.
- Source :
- IEEE Signal Processing Letters; Jun2009, Vol. 16 Issue 6, p489-492, 4p, 2 Diagrams, 3 Graphs
- Publication Year :
- 2009
-
Abstract
- Block crosstalk cancellation techniques in practical multi-user digital subscriber line (DSL) environments may involve a high computational complexity as the channel and noise statistics can vary over time. We follow an adaptive approach by designing a structurally consistent significance-test feature within the normalized least-mean-square (NLMS) adaptive crosstalk canceller, aimed to detect significant crosstalkers within a DSL binder. The proposed detection-guided NLMS adaptive partial crosstalk canceller for DSL targets the dominant crosstalkers across user lines and tones, has low run-time complexity, demonstrates significantly faster convergence, and requires smaller training sequences when compared via simulation to the equivalent standard NLMS adaptive crosstalk canceller. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10709908
- Volume :
- 16
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- IEEE Signal Processing Letters
- Publication Type :
- Academic Journal
- Accession number :
- 41019388
- Full Text :
- https://doi.org/10.1109/LSP.2009.2017480