A novel robust Student's t-based Kalman filter is proposed by using the variational Bayesian approach, which provides a Gaussian approximation to the posterior distribution. Simulation results for a manoeuvring target tracking example illustrate that the proposed filter has smaller root mean square error and bias than existing filters.
A Novel Robust Student's t-Based Kalman Filter
IEEE Transactions on Aerospace and Electronic Systems ; 53 , 3 ; 1545-1554
2017-06-01
779696 byte
Article (Journal)
Electronic Resource
English
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