Title :
Combined channel estimation and data detection using soft statistics for frequency-selective fast-fading digital links
Author :
Baccarelli, Enzo ; Cusani, Roberto
Author_Institution :
INFOCOM Dept., Rome Univ., Italy
fDate :
4/1/1998 12:00:00 AM
Abstract :
A novel adaptive nonlinear equalizer for fast time-varying multipath channels that combines the channel estimation and data detection tasks is presented. The a posteriori probabilities (APPs) of the states of the intersymbol interference (ISI) channel are recursively computed from the received data by a symbol-by-symbol (SbS) detector and are then employed by a Kalman-type nonlinear channel estimator. Robust channel tracking and good data-detection performance are obtained, with a reasonable receiver complexity
Keywords :
Kalman filters; adaptive equalisers; digital radio; fading; intersymbol interference; multipath channels; parameter estimation; probability; radio links; radio receivers; signal detection; statistical analysis; time-varying channels; tracking; HF radio links; ISI channel; Kalman filter; Kalman-type nonlinear channel estimator; a posteriori probabilities; adaptive nonlinear equalizer; channel estimation; data detection; data detection performance; digital links; fast time-varying multipath channels; frequency-selective fast-fading; intersymbol interference channel; receiver complexity; robust channel tracking; soft statistics; symbol-by-symbol detector; Channel estimation; Covariance matrix; Equalizers; Fading; Frequency estimation; Intersymbol interference; Maximum likelihood estimation; Recursive estimation; State estimation; Statistics;
Journal_Title :
Communications, IEEE Transactions on
