Computer Science – Performance
Scientific paper
Dec 1991
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1991aifo.repts....m&link_type=abstract
M.S. Thesis Air Force Inst. of Tech., Wright-Patterson AFB, OH. School of Engineering.
Computer Science
Performance
Circular Orbits, Dynamic Models, Geopotential, Kalman Filters, Navigation, Orbital Position Estimation, Position Errors, Satellite Orbits, Earth (Planet), Mass, Onboard Equipment
Scientific paper
Previous work in the area of estimation of relative positions within a satellite cluster showed favorable results. However, the work was done using point mass orbits in the truth model. This thesis investigates the estimation of relative satellite positions operating in near circular orbit including the J sub 2 term in Earth's geopotential. The iterated, extended Kalman filter is used as the on-board estimator in order to gain better performance in the face of the non-linearities. The dynamics in the estimator are based on the Clohessy-Wiltshire equations for relative orbital motion. Inputs to the host estimator are range measurements from each satellite in the cluster. The relative position to the host satellite is investigated. A comparison of the true error and the rms covariance was performed.
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