Title :
A novel tunable-complexity turbo-soft detector for high-throughput HDSL applications over ISI channels with crosstalk
Author :
Baccarelli, Enzo ; Fasano, Antonio ; Biagi, Mauro
Author_Institution :
INFO-COM Dept., Univ. of Roma "La Sapienza", Rome, Italy
fDate :
2/1/2002 12:00:00 AM
Abstract :
We present a novel iterative (turbo) receiver with tunable complexity for reliable detection of (uncoded) payload data transmitted over long intersymbol interference (ISI) channels affected by crosstalk, as those typically encountered in emerging HDSL2 services standardized by ANSI T1.418 recommendation. The proposed receiver combines in an original way "minimum mean square error (MMSE) estimation principle," "turbo-processing principle" and "crosstalk-prediction principle" for achieving both suboptimal maximum a posteriori probability channel equalization and reliable soft-mitigation of ISI tail plus crosstalk. More in detail, according to the turbo-processing principle, at each iteration suitable extrinsic information is extracted from the equalizing and interference-canceling modules and used as "a priori information" for the next iteration. Several simulation results on typical HDSL-like test-loops confirm the superiority of the proposed turbo-detector (TD) over current solutions based on conventional MMSE decision-feedback equalizers and precoders (such as the Tomlinson-Harashima precoder). The numerical tests also point out that performance of the presented TD on typical high bit-rate digital subscriber lines (HDSL) is not limited by error-floor phenomena, even at error-probabilities below 10-7
Keywords :
crosstalk; data communication; digital subscriber lines; equalisers; interference suppression; intersymbol interference; iterative decoding; least mean squares methods; maximum likelihood decoding; signal detection; tuning; turbo codes; ANSI T1.418; HDSL2 services; ISI channels; ISI tail soft mitigation; MMSE; crosstalk prediction; high bit-rate digital subscriber lines; interference cancellation; intersymbol interference; iterative receiver; maximum a posteriori probability; minimum mean square error; payload data detection; suboptimal channel equalization; tunable complexity; turbo processing; turbo receiver; Crosstalk; Data mining; Decision feedback equalizers; Detectors; Estimation error; Intersymbol interference; Mean square error methods; Payloads; Tail; Testing;
Journal_Title :
Selected Areas in Communications, IEEE Journal on