Algorithms for blind detection of equalisation errors in hidden Markov model 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. The taps are assumed to evolve according to a finite-state, homogeneous Markov chain. Errors are detected by applying a binary hypothesis test to the innovations obtained from a hidden Markov model (HMM) filter. We present off-line and on-line error detection algorithms. These algorithms are verified experimentally in computer simulations.