Realization of Bayesian Equalization Using Parallel Kalman Filtering
Sijie Yuan · Jisuanji fangzhen · 2011
Research on the realization of blind Bayesian equalization using parallel Kalman filtering is carried out.Two modified measures are proposed to reduce the number of Kalman filters aiming at the high complexity of the current realization method using too much filters.One is to initialize the channel symmetrically,and the other is to renew the channel according to common correlative states.It only requires one filter to deal with the states which are symmetrical or have the same correlative states.And the number of Kalman filters in the modified method is reduced largely.Simulation result shows that the modified method has low complexity and the same performance as the typical realization method.