Design of blind decision feedback equalizers for Markovian time varying channels

In this paper, a new class of blind algorithms designed for decision feedback equalization of time varying channels, is proposed. We consider Markovian time variations of the impulse response of the channel as in radio mobile communications. The main idea is to modify classical blind algorithms (decision-directed, constant modulus algorithm,...) in order to give them self-adaptive knowledge of the channel non-stationarity. Simulations show that the proposed algorithms non-stationary DD and non-stationary CMA present better tracking capacity than the classical ones. Hence, they are able to improve the bit error rate especially for severe propagation conditions.