Blind testing for equalisation errors for time-varying communication channels

TitleBlind testing for equalisation errors for time-varying communication channels
Publication TypeConference Paper
Year of Publication1997
AuthorsCarlemalm, C., V. Krishnamurthy, and K. Dogancay
Conference NameDigital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on
Pagination119 -122 vol.1
Date Publishedjul.
Keywordsautoregressive processes, binary hypothesis test, blind detection, equalisation errors, equalisers, error detection, finite impulse response system, FIR, FIR filters, Kalman filter, Kalman filters, linear autoregressive model, off-line error detection algorithms, on-line error detection algorithms, stochastic time-varying taps, time-varying channels, time-varying communication channels

This paper presents algorithms for blind detection of equalisation errors when the communication channel is a finite impulse response (FIR) system with stochastic time-varying taps. A linear autoregressive (AR) model is used to describe the FIR tap behaviour. Error detection is achieved by a binary hypothesis test on the innovations obtained from a Kalman filter. We present off-line and on-line error detection algorithms. These algorithms are experimentally verified in computer simulations


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