A comparison of a least squares filter and an extended Kalman filter for orbit determination.

Details A comparison of a least squares filter and an extended Kalman filter for orbit determination. A comparison of a least squares filter and an extended Kalman filter for orbit determination.

Aug 1986

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1986asdy.conf..877b&link_type=abstract

Astrodynamics 1985, p. 877 - 890

Computer Science

Performance

Artificial Satellites:Orbit Determination, Orbit Determination:Artificial Satellites

Scientific paper

The performance of an extended Kalman filter is compared with the performance of a non-linear least squares filter for maintaining current orbital element sets on a large number of satellites. The states estimated are classical orbital elements and ballistic coefficient. The observations used are range, azimuth, and elevation relative to a radar site. Data from the tracking of two satellites, a high altitude satellite and Skylab, are used to compare the performance of the filters with regard to speed, required storage, and orbit estimation accuracy.

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