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A Detection Guided Normalized Least-Mean-Squares Adaptive Partial Crosstalk Canceller for Multi-User DSL Environments

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5 Author(s)
Mandar L. Gujrathi ; Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD ; John Homer ; I. Vaughan L. Clarkson ; Raphael Cendrillon
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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.

Published in:

IEEE Signal Processing Letters  (Volume:16 ,  Issue: 6 )