In order to improve the initiation control accuracy of guided missiles and obtain a more accurate initiation delay timean integrated information fusion method based on measurement data of infrared seeker and laser rangefinder is proposed.In multi-mode information processingdue to different starting-up time and sampling frequencies of the two sensorsand the time difference between observation datathe measurement data of the two sensors is not on the same time base.Thereforea time alignment method based on interpolation and extrapolation is presented in a typical projectile/target encountering environmentand the measurement data of the sensors is applied to the calculation of a delay time model.On the basis of the modela centralized data filtering algorithm based on the improved particle filter is proposed.A comparison with the traditional extended Kalman filter algorithm is conducted.The simulation results show that the accuracy of the detection angle is improved by 80.45% and the measurement accuracy of the optimal firing angle is improved by 78.61%thus the initiation control accuracy of the integrated fuze is improved.