Title :
Memory truncation and crosstalk cancellation in transmultiplexers
Author_Institution :
Sch. of Electr. Comput. & Telecommun. Eng., Wollongong Univ., NSW, Australia
fDate :
6/1/1999 12:00:00 AM
Abstract :
This article addresses the design of linear networks that reduce intersymbol interference and crosstalk in transmultiplexers. The proposed filter design method is based on the maximization of the signal-to-noise ratio at the detector input, defined for channel memories being truncated to arbitrarily short lengths. Thus, low-complexity Viterbi (1986) detectors working independently for all data channels can be used. The design of minimum mean-square error equalizer networks is included in the framework.
Keywords :
Viterbi detection; channel bank filters; crosstalk; equalisers; filtering theory; interference suppression; intersymbol interference; least mean squares methods; linear network synthesis; transmultiplexing; MMSE; SNR maximization; channel memories; crosstalk cancellation; data channels; detector input; filter banks; filter design method; intersymbol interference reduction; linear network design; low-complexity Viterbi detectors; memory truncation; minimum mean-square error equalizer networks; signal-to-noise ratio; transmultiplexers; Channel bank filters; Crosstalk; Delay; Detectors; Equalizers; Filter bank; Intelligent networks; Intersymbol interference; Nonlinear filters; Viterbi algorithm;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/4234.769523