A new adaptive equalization technology in time-varying multipath channel

In wireless communication system, with the increase of the maximum Doppler frequency shift, constant module algorithm (CMA), least mean squares (LMS) and recursive least squares (RLS) algorithms could not track the varying channel, which decrease the effect of equalization Kalman filter is the optimal one in tracking time-varying channel, but it needs training sequences, which restricts its application. This paper combines the three kinds of adaptive equalization algorithms and Kalman filter algorithm respectively for better effect and simulations show that our methods are effective