| Summary: | It is the most effective way to miniaturize and compact the seeker at present by using small MEMS gyroscopes sensitive seeker platform and the semi-strapdown technology resolving together with the gyro information and frame angular velocity information of the navigation IMU. However, compared with the traditional seeker control methods, there is still a problem of large noise when using these two methods to control the seeker stability platform and generate guidance information.In this paper, the "virtual gyro" technology is used to fuse the two signals to improve the signal accuracy and reduce the noise. Based on the analysis of the generation principle and signal characteristics of the semi-strapdown signal, the noise model is established. Using this model and the noise model of MEMS gyroscope, the state equation and measurement equation of MEMS gyroscope and semi-strapdown signal fusion system are established, and the Kalman filter method is used to estimate the real signal. The influence of key parameters in the model on the filtering effect and bandwidth under steady-state conditions is analyzed by using continuous Kalman theory. Simulation and experimental results show that the fusion system can greatly reduce the noise of the original signal.
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