Author:

Keywords:

SISTA, Science & Technology, Technology, Engineering, Electrical & Electronic, Engineering, Adaptive canceller, column-wise diagonal dominant (CWDD), detection, normalized least mean squares (NLMS), partial crosstalk cancellation, 0801 Artificial Intelligence and Image Processing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies, Networking & Telecommunications, 4006 Communications engineering, 4009 Electronics, sensors and digital hardware, 4603 Computer vision and multimedia computation

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. © 2009 IEEE.