Monte Carlo Algorithm for Ballistic Object Tracking with Uncertain Drag Parameter
نویسندگان
چکیده
The problem of tracking a reentry ballistic object by processing radar measurements is considered in the paper. Sequential Monte Carlo-based filter is proposed for dealing with high nonlinearity of the object dynamics. A multiple model configuration is incorporated into the algorithm for overcoming the uncertainty about the object ballistic characteristics. The performance of the suggested multiple model particle filter (PF) is evaluated by Monte Carlo simulation.
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