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- W1649331619 abstract "For orbit improvement, a extended Kalman filter has been suggested in this paper. Processing in real time a few passes of laser ranging observation data from only one tracking station, the satellite position in current future could be precisely predicted. The dynamical model included the effects of the earth non-spherical shape, atmospheric drag, solar radiation pressure as well as lunar and solar perturbations. In computing these kinds of perturbations, the earth gravitational potential was developed up to llth degree and 11th order for all of zonal, sectorial and tesseral harmonic terms; exponential model was adopted for the distribution of atmospheric density; the earth shadow was assumed in cylindrical shape; the rotating Kepler's elliptical orbits were adopted in computing the geocentric coordinates of the moon and the sun. For the estimation of satellite state, the extended sequential estimation algorithm was applied. The numerical method was used to integrate state vector and error covariance matrix. As the tests, two examples using simulated and real laser ranging data of LAGEOS satellite respectively were presented. The applications demonstrate that the rather accurate satellite position of subsequent passes required for laser pointing could be predicted, by using the extended sequential filter structured in here and processing a few passes, a relatively small number of range observation data, even though these data were from only one station. Whatever, more passes were processed, more accuracy could be reached. The computer program constructed according to this method is able to run on a minicomputer, such as PDP 11/60, while at the same time, it maintains the required accuracy for orbit prediction. So the extended Kalman filter is a convenient and useful means for those tracking stations, where no large computers are available." @default.
- W1649331619 created "2016-06-24" @default.
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- W1649331619 date "1982-06-01" @default.
- W1649331619 modified "2023-09-24" @default.
- W1649331619 title "APPLICATION OF EXTENDED KALMAN FILTER TO SATELLITE PRECISE PREDICTION" @default.
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