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In order to improve the performance of blind detection algorithm for MPSK “multiple phase shift keying(MPSK)”, a chaotic neural network model is introduced with a new annealing model, and the perturbation factor and chaos are added. Disturbed Complex Transiently Chaotic Neural Network with Amplitude-Phase-type Hard-Multistate-activation-function is proposed. The algorithm uses transient chaotic neural network to improve the anti-noise performance, and the chaotic initialization to obtain the original signal at the initial moment, and selects the small perturbation factor with high correlation with the transmitted signal to make the algorithm jump out of the local optimal solution. Experimental simulation results show that the MPSK blind detection algorithm with perturbation amplitude phase-phase discrete amplitude multi-level transient chaotic neural network requires fewer starting points, can converge under smaller signal-to-noise ratio and shorter data length.