Abstract
The astronomical observation model, light curve model and solar radiation pressure force model are established to allow estimation of the positions and attitudes of space objects using a fusion of photometric and astronomical data. Existing algorithms for this purpose involve large errors. The proposed method firstly estimates the attitude of the object by using photometric and astronomical data fusion. Secondly, the position of the object is filtered by the estimated attitude. Theory and numerical simulations show the efficiency of the proposed method.
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