Blind decision feedback equalizer with tracking ability in severe propagation conditions

The non-stationary RLS algorithm is used for decision feedback equalization of time varying channels. We consider Markovian time variations of the impulse response of the channel as in radio mobile communications. The non-stationary RLS algorithm has the capacity to learn in real time about time varying model of the channel, so it presents a better tracking capacity than the classical ones. Hence, it is able to improve the bit error rate especially for severe propagation conditions.