Computer Science
8 years ago

New filtering algorithms improve accuracy in real-time target tracking simulations.

Ship Electronic Engineering
Comparison of Nonlinear Filtering Algorithms Based on Sampling
QI De-ning

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A study compared different filtering algorithms for tracking moving targets. The traditional method, EKF, has errors in estimating non-linear systems. Three new methods, UKF, PF, and UPF, were tested and found to be more accurate and faster at tracking targets. The new algorithms outperformed EKF in terms of accuracy, speed, and consistency.