Prediction Mthod for Stellite Measurement Signal Quality in Boost Phase Based on Kalman Filtering Arithmetic
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Abstract
By establishing a satellite kinematic model,an optimal estimating based on Kalman filtering theory method for the flight trajectory of satellite in boost phase and the satellite attitude variation were gained.Through the relationship between them and the satellite antenna radiation direction figure,the satellite-ground theoretical received level data is amended and the quality of satellite-ground measurement signal in satellite attitude variations in boost phase is predicted,providing scientific information for decision support on the ground.
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