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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Comparison of filters in target tracking
 Benko, Matej ; Bednář, Josef (referee) ; Žák, Libor (advisor)
The topic of this bachelor thesis is Optimal Bayesian estimate usage in target tracking with bistatic measurement. The thesis is focused on particle filtering. It is shown particle filters are effective algorithms providing Optimal Bayesian estimate solution. There are tested and evaluated many types of fundamental algorithms, like SIR, Auxiliary or Regularized particle filters. It is compared to the accuracy of optimal estimates on various situations, depend on a different trajectory or acceleration of the target.
Detailed record
Comparison of filters in target tracking
 Benko, Matej ; Bednář, Josef (referee) ; Žák, Libor (advisor)
The topic of this bachelor thesis is Optimal Bayesian estimate usage in target tracking with bistatic measurement. The thesis is focused on particle filtering. It is shown particle filters are effective algorithms providing Optimal Bayesian estimate solution. There are tested and evaluated many types of fundamental algorithms, like SIR, Auxiliary or Regularized particle filters. It is compared to the accuracy of optimal estimates on various situations, depend on a different trajectory or acceleration of the target.
Detailed record

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