Blind detection of CDMA signals based on Kalman filter

This paper studies detection of CDMA signals based on the Kalman filter. In the absence of both training symbols and the knowledge about multipath channel parameters, the system can be exactly fitted into the Kalman model. By defining the combination of channel and transmitted signals as state variables, the state transition matrix and measurement matrix are derived without approximations. The covariance of process noise in the proposed algorithm is recursively estimated from the estimated states, in contrast to all existing approaches where channel parameters are assumed known or estimated by other methods. Therefore the proposed structure is much simpler and easy to implement.