Orbit Prediction Algorithm of LEO Satellite Based on Optical Measurement in Short Arc with Single Station

Details Orbit Prediction Algorithm of LEO Satellite Based on Optical Measurement in Short Arc with Single Station Orbit Prediction Algorithm of LEO Satellite Based on Optical Measurement in Short Arc with Single Station

Oct 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009acasn..50..445p&link_type=abstract

Acta Astronomica Sinica, vol. 50, no.4, p. 445-458

Astronomy and Astrophysics

Astronomy

Celestial Mechanics: Orbit Calculation And Determination, Methods: Numerical

Scientific paper

Since the photoelectric theodolite is difficult to capture the satellite on condition of cloudy day or with high brightness of the background, the process of tracking task with the theodolite has to intermit and then search again, which is restricted to work only at a short time consequently. In order to guarantee the photoelectric theodolite to work in all-weather conditions, a tracking and predicting algorithm based on the non-linear filter is established, which can provide guiding data for closed loop track under normal conditions. Moreover, a predicting algorithm based on non-linear transform is also advanced, providing tracking guide for the theodolite without any effective observational data. Compared with the traditional EKF, the non-linear filter presented in this paper is proved more effective in tracking and predicting algorithm with single station and short arc observations. Finally, simulation experiment of tracking seasat1 is carried out. The simulation calculation shows that it is difficult to determinate the orbit of the satellite in radial direction with short arc observational data of azimuth and elevation angle. However, the prediction algorithm can offer precise information of orientation, which is the key factor to track the satellite with the photoelectric theodolite. With this prediction algorithm, the photoelectric theodolite can be guided to pass through the gap of cloud or high brightness parts. The guide precision is equal to the random error of the theodolite. The prediction precision can reach up to 20'' for 60 second prediction even if the system error of the device reaches up to 50'', which can satisfy the viewing field requirement for the track device.

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