Statistical Orbit Determination by Global Evolutionary Optimization and Batch Filter

A combined algorithm which has global and local optimization capabilities is applied to a statistical orbit determination problem. The objective is to estimate initial states of a nearearth satellite nonlinear dynamical system, as well as unknown parameters, by using discrete observations. A particle swarm optimizer is the selected global search tool, and it is used in the first phase to obtain the preliminary results over a large searching space. A batch filter which has faster convergence and higher accuracy in local optimization is applied in the second phase to refine the preliminary results. The initial experimental results show that the combined algorithm has the potential to solve a statistical orbit determination problem.

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