Sage Husa Adaptive Integrated Navigation Algorithm Based on Variable Fading Factor

Abstract

In order to solve the problem of selecting attenuation factor due to the contradiction between noise tracking accuracy and tracking sensitivity in traditional sage Husa adaptive filtering algorithm, a novel SAGE Husa adaptive integrated navigation algorithm based on sliding attenuation factor is proposed, which can detect the actual changes of noise statistical characteristics by designing a detection function of the change of statistical characteristics of measurement noise The adaptive function of attenuation factor is designed, and the appropriate attenuation factor is selected according to the change of statistical characteristics of measurement noise to adapt to the change of actual noise. Simulation results show that the sage Husa adaptive integrated navigation algorithm based on sliding attenuation factor can effectively track the real-time changes of noise statistical characteristics, and can take into account the adaptive tracking accuracy and tracking sensitivity.