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The error of transfer alignment is one of the most important errors in strapdown inertial system(SINS). In this paper,a method based on Kalman filter aided by wavelet neural network is introduced to transfer alignment during the navigation for the limitation of Kalman filter:it is difficult to modelig the accurate transfer alignment of SINS,in which the noise of measurement and process changes by the movement of carrier-based aircraft and the accurary of Kalman filter will be affected. The filter function for Transfer Alignment of SINS is realized by adding the Kalman filter result to the sample after training which the Kalman filter estimation is as the input of the network error parameter. The proposed method provides better accuracy compared to the Kalman filter on the condition of nonlinear dynamics which is common in application. Simulation results show its effectiveness and practicality.