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- W2348271035 abstract "This paper makes a sample at autonomous navigation for satellite with a large field group of star sensors, gives a state equation at aspect of non-sphericity earth, gives an observation equation with a large field group of star sensors, gives an arith model of satellite orbit perturbation, makes model linearization around optimization estimation, improves traditional algorithm of wide Kalman filtering, first step principium forecast and it's emendation replaces first step principium forecast during filtering, counterpoises element of the difference of average square in push calculation step so as to avoid non-symmetry or reversion. Computer simulation result shows improved algorithm of wide Kalman filtering can bring a good effect in decreasing orbit error as a result of sampling cycle, and make position and velocity error of satellite stabilized, and diminish infection of discrete error to the precision of orbit estimation in some way." @default.
- W2348271035 created "2016-06-24" @default.
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- W2348271035 date "2004-01-01" @default.
- W2348271035 modified "2023-09-23" @default.
- W2348271035 title "Kalman Filtering Algorithm Improvement and Computer Simulation in Autonomous Navigation for Satellite" @default.
- W2348271035 hasPublicationYear "2004" @default.
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