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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 simulation results show that the improved Kalman detection algorithm does not require training sequences that can realize synchronous and asynchronous communication state of multiple underwater acoustic target users of blind adaptive detection, improved Kalman filter algorithm can get higher SIR in target detection than the traditional algorithm by 6 dB in maximum. The new algorithm is of great significance for accuracy and stability of underwater acoustic communication based on CDMA protocol in multiuser detection and differentiation. 