Blind adaptive multi-user detection technique based on improved Kalman filter for underwater acoustic communication

In order to solve multi access interference (MAI) effect of multi-user blind detection in underwater acoustic communication networks, blind adaptive multi-user detection method based on improved Kalman filter algorithm was proposed. This method can suppress the MAI problem when the user number increases. Simulation was done for both traditional Kalman method and improved Kalman method in synchronous and asynchronous multi-user communication case, the differences of detection character between the two methods were examined, and the validity of improved Kalman blind detection algorithm in multi-user underwater acoustic communication is proved.